{"id":"W1856119153","doi":"10.3905/jot.v7i3.314","title":"Representativeness Heuristic Can Cause Asset Price Underreaction to New Information in a Competitive Securities Market","year":2012,"lang":"en","type":"article","venue":"The Journal of Trading","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Representativeness heuristic; Stochastic game; Asset (computer security); Basis risk; Microeconomics; Heuristic; Capital asset pricing model; Economics; Financial economics; Actuarial science; Econometrics; Business; Computer science; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196279,0.00007797297,0.0001993688,0.0002412215,0.00006136536,0.00006618566,0.0001301573,0.00002790041,0.0001007721],"category_scores_gemma":[0.0001934359,0.0000670193,0.00003910367,0.0001945028,0.00002281483,0.001173642,0.00001790049,0.000155873,0.000009922825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822047,"about_ca_system_score_gemma":0.00003769492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005898823,"about_ca_topic_score_gemma":0.00005201525,"domain_scores_codex":[0.999189,0.00004801469,0.0004920888,0.00004169926,0.00005154183,0.0001776478],"domain_scores_gemma":[0.9992259,0.0001585618,0.0004386585,0.00007693714,0.00002488794,0.00007504183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007211465,0.0002174649,0.1303682,0.0001680164,0.0002078809,0.000009449561,0.07964104,0.0007983904,0.0001121156,0.755144,0.03045888,0.002153371],"study_design_scores_gemma":[0.0008145728,0.0001923728,0.9072587,0.0002153209,0.000023128,0.00009188695,0.009021877,0.0005394711,0.0001552547,0.0435534,0.03788821,0.0002457458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380234,0.0009040369,0.004988132,0.001846985,0.0008689246,0.0002040942,0.00003214027,0.000007446209,0.05312479],"genre_scores_gemma":[0.9989426,0.000260113,0.0002247766,0.0002743381,0.0001545605,0.00000183971,0.00000166844,0.000005503697,0.0001346569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7768905,"threshold_uncertainty_score":0.2732967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05081257216172864,"score_gpt":0.2580370381680662,"score_spread":0.2072244660063375,"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."}}