{"id":"W2016907534","doi":"10.1016/j.jbankfin.2004.06.028","title":"Stock market returns: A note on temperature anomaly","year":2004,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":540,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Stock (firearms); Mood; Economics; Apathy; Aggression; Stock market; Statistical evidence; Anomaly (physics); Monetary economics; Financial economics; Psychology; Econometrics; Clinical psychology; Social psychology; Psychiatry; Cognition; Condensed matter physics; Physics; Geography","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":[0.0005220974,0.0002155282,0.0003982117,0.0008831531,0.0002266141,0.001194859,0.0004605589,0.0009120969,0.001888475],"category_scores_gemma":[0.004536898,0.0001313996,0.0004108844,0.001322913,0.0004865746,0.001650443,0.0005728577,0.001242932,0.0004779659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000326731,"about_ca_system_score_gemma":0.000196499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002356089,"about_ca_topic_score_gemma":0.001897054,"domain_scores_codex":[0.9997645,0.00002651579,0.00002817717,0.00005141906,0.0001011611,0.00002821665],"domain_scores_gemma":[0.9984042,0.0004632168,0.0004306001,0.0002538119,0.0003581941,0.00008991006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001512854,0.000240035,0.6037706,0.0003605256,0.0006596787,0.007860247,0.00103606,0.01407334,0.06774112,0.05441419,0.02349555,0.2248357],"study_design_scores_gemma":[0.00004824908,0.000322757,0.8412832,0.0001117644,0.000499064,0.004842136,0.0006083961,0.03331332,0.03349879,0.03656729,0.04877868,0.0001263691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9103255,0.008264749,0.02030294,0.01014551,0.00212585,0.00004448909,0.002101931,0.0005482545,0.04614076],"genre_scores_gemma":[0.9920331,0.002076364,0.001373514,0.0003549524,0.001405161,0.000003483543,0.0002317172,0.00008556018,0.002436126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002356089,"threshold_uncertainty_score":0.006317616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768959554659169,"score_gpt":0.2196667281355054,"score_spread":0.2019771325889137,"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."}}