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Ground-level proof points accumulating

Ground-level proof points accumulating: management narrates several small, named, recent wins and treats them as the lea

Calls Tested
322
Answered YES
8
Hit Rate
2.5%
rare by design

Intra-Cellular Therapies, Inc. (ITCI) — this company's answers

NO on the Q4 2017 call 2018-03-01 D
The model's full reasoning — Q4 2017 call → NO我们根据提供的电话会议记录来判断。问题要求:管理层对刚报告期的叙述是否基于几个具体、小规模、实际发生的事件,并且管理层明确将这些事件视为更广泛改善的领先指标,且这种改善仍处于早期阶段。 检查记录内容: - 管理层提到了多个具体事件:完成了精神分裂症开放标签安全性转换研究的第一部分,并展示了数据;启动了ITI-214在帕金森病中的1/2期试验,并完成了前两个队列;启动了ITI-214在收缩性心力衰竭中的研究;等等。这些是具体的研究进展。 - 但问题要求的是“ground-level wins”如客户、站点、产品等。这里主要是临床试验进展,属于公司业务的具体事件。 - 管理层是否将这些事件连接成更广泛的早期模式?例如,Sharon提到“我们为lumateperone的NDA准备,进一步推进创新研发管线”,但更多是总结性陈述。 - 检查是否有至少三个不同的、可识别的近期事件:1)完成精神分裂症转换研究第一部分;2)启动ITI-214帕金森试验并完成两个队列;3)启动心力衰竭研究;4)计划提交NDA等。这些是具体事件。 - 管理层是否明确将这些事件视为更广泛改善的领先指标,且仍处于早期?Sharon说“我们受到鼓舞”,但并未明确说这些是更广泛改善的早期迹象。她提到“我们为lumateperone的NDA准备”,但更多是计划。 - 整体上,管理层叙述了多个具体进展,但并未明确将它们连接成一个“更广泛改善”的早期模式。他们更多是报告进展,而不是强调这些是领先指标。 - 因此,答案应为NO。 最终答案:NO

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Show the exact prompt the model was given
Using ONLY the supplied earnings call transcript and no outside information: On this call, does management's account of the just-reported period rest on SEVERAL SMALL, CONCRETE, GROUND-LEVEL WINS THAT IT NAMES AND DESCRIBES INDIVIDUALLY — specific recent episodes from inside the business, each one identifiable on its own — AND does management explicitly treat these accumulating episodes as the LEADING EDGE of a broader improvement that is still early? Answer YES when BOTH halves come through in management's own words, in whatever form fits the business: (1) AT LEAST THREE DISTINCT, NAMED OR INDIVIDUALLY IDENTIFIABLE EPISODES FROM THE RECENT PERIOD. Management recounts multiple separate ground-level events that actually happened recently — each described specifically enough that a listener could tell the episodes apart and could later check them. The episodes may take whatever form fits the industry: a particular customer, account, or partner that signed, reordered, expanded, or went live; a particular site, store, plant, line, rig, clinic, or facility that opened, hit a milestone, or reached a new performance level; a particular product, program, or offering that shipped its first units, won its first placements, or crossed a threshold; a particular region, channel, or contract that turned on or stepped up. What matters is the GRANULARITY and RECENCY: these are individually small, freshly occurred, operator-level facts — the kind of detail only people close to the business would narrate — not aggregate results, percentages, themes, or claims like "demand was strong across the board." (2) MANAGEMENT ITSELF CONNECTS THE EPISODES INTO A BUILDING PATTERN THAT IS STILL EARLY. Management explicitly draws the line from these individual episodes to a larger developing trajectory — conveying, in its own voice, that these wins are instances of the same underlying thing, that more of the same kind are already forming or arriving, and that the pattern's contribution to reported results is only beginning, so most of it lies ahead. The generalization must be management's own act, grounded in the recounted episodes — not a hope, a market-size claim, or an analyst's summary. Answer NO if the call's positive story is carried mainly by aggregates — overall growth rates, segment percentages, or general demand commentary — without several individually identifiable recent episodes. NO if fewer than three distinct episodes are described, or the episodes are really one event told from different angles. NO if the episodes are plans, pipeline items, letters of intent, or hoped-for events rather than things that already happened. NO if the episodes are the routine cadence this company always reports (its usual pace of customer additions, standard seasonal openings) and management does not present their accumulation as new or building. NO if management recounts the episodes but never itself connects them into a broader, still-early pattern with more arriving. NO if the episodes chiefly explain problems, or the call is mainly defense of weak results. NO if the pattern-framing appears only in an analyst's question or summary that management does not itself adopt. Use only the supplied transcript. Answer only YES or NO.

Companies that answered YES

TickerCompanyCallDateCall grade
CRGO Freightos Limited Q1 2024 2024-05-20 C+
MBLY Mobileye Global Inc. Q2 2023 2023-07-28 B+
TOST Toast, Inc. Q4 2022 2023-02-16 C+
BXP Boston Properties, Inc. Q1 2022 2022-05-03 A
AU AngloGold Ashanti's Q2 2018 2018-08-20 B
MITK Mitek Systems, Inc. Q4 2017 2017-11-07 C+
TGI Triumph Group, Inc. Q2 2017 2016-11-03 C+
GOGO Gogo Inc. Q1 2016 2016-05-06 C+

How the model reasoned

AU · Q2 2018 → YESThe question is: Does management's account of the just-reported period rest on SEVERAL SMALL, CONCRETE, GROUND-LEVEL WINS THAT IT NAMES AND DESCRIBES INDIVIDUALLY — specific recent episodes from insid...YES The transcript shows multiple specific, recent operational episodes: Kibali’s underground ramp-up with automated ore handling system and vertical shaft integration; Iduapriem’s CIL tank conversion and grade/tonnage gains; Sunrise Dam’s Recovery Enhancement Project plus new mining strategies; Tropicana’s second 6-MW ball mill installation; Siguiri’s CIL circuit milestone; and 338 tracked Operational Excellence projects.
BXP · Q1 2022 → YESThe question is: Does management's account of the just-reported period rest on SEVERAL SMALL, CONCRETE, GROUND-LEVEL WINS THAT IT NAMES AND DESCRIBES INDIVIDUALLY — specific recent episodes from insid...YES The transcript shows multiple distinct, named episodes from the recent period: the 73,000 sq ft recapture/release at 77 CityPoint with a 15% rent increase and 7.
CRGO · Q1 2024 → YESThe question is: Does management's account of the just-reported period rest on SEVERAL SMALL, CONCRETE, GROUND-LEVEL WINS THAT IT NAMES AND DESCRIBES INDIVIDUALLY — specific recent episodes from insid...

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Not investment advice. Artul.ai publishes AI-generated earnings-call quality grades and expected-volatility estimates — never buy or sell recommendations. We tested over 1,600 predictive hypotheses against 165,000 transcripts; the honest result, including what failed, is documented in our methodology.