{"id":"W6985930969","doi":"","title":"MOME in Hindsight","year":2004,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Hindsight bias; Proposition; Market efficiency; Stock market; Market microstructure; Financial market; Market mechanism; Empirical research; Empirical evidence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01256974,0.0005898547,0.001197965,0.001345949,0.00487513,0.009311601,0.002594949,0.01226771,0.01853765],"category_scores_gemma":[0.06574932,0.0005282284,0.0007607102,0.0008142549,0.01099485,0.008662426,0.003782543,0.02339682,0.01158597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00425363,"about_ca_system_score_gemma":0.006967787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007855339,"about_ca_topic_score_gemma":0.007392919,"domain_scores_codex":[0.986286,0.003792844,0.0007767288,0.003535291,0.004404027,0.001205171],"domain_scores_gemma":[0.9760882,0.01001256,0.001496735,0.003529622,0.007784368,0.001088507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000167201,0.00001646099,0.0002701623,0.00004884346,0.00001310382,0.00009138371,0.0003237846,0.00009145521,0.00006589011,0.3727542,0.6140903,0.01221769],"study_design_scores_gemma":[0.00001248569,0.00001541571,0.0002054577,0.0001860879,0.00000790677,0.0001140419,0.0001553472,0.0002109401,0.0001528566,0.06992906,0.9289879,0.0000225808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00197988,0.01271056,0.008915541,0.6500828,0.04202297,0.0001078692,0.0004246905,0.0005293473,0.2832263],"genre_scores_gemma":[0.05290407,0.004068215,0.003610266,0.7406911,0.02608312,0.0002525857,0.0001729873,0.0002682693,0.1719493],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01853765,"threshold_uncertainty_score":0.06647593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119321831379447,"score_gpt":0.2136140384325201,"score_spread":0.1924208201187257,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}