{"id":"W1971765540","doi":"10.1016/j.rfe.2012.04.001","title":"A logit model of retail investors' individual trading decisions and their relations to insider trades","year":2012,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Insider trading; Insider; Copying; Business; Stock (firearms); Financial economics; Sample (material); Logit; Monetary economics; Econometrics; Economics; Finance","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":[0.0009830183,0.0002086124,0.0008852275,0.000227389,0.00008874924,0.0000193015,0.0002060069,0.0001293734,0.00008455883],"category_scores_gemma":[0.0009885599,0.0002130001,0.0001886129,0.000223459,0.0001290766,0.0005483984,0.00008510552,0.0001337599,0.00002124862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005826253,"about_ca_system_score_gemma":0.0001148475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003776369,"about_ca_topic_score_gemma":0.00001995286,"domain_scores_codex":[0.9981586,0.00001904903,0.00123297,0.0002729827,0.00002515917,0.000291294],"domain_scores_gemma":[0.9987449,0.0001623014,0.0006290544,0.0002787404,0.00003234861,0.000152652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001096003,0.0001000929,0.01360656,0.0005504229,0.00003063737,7.160698e-8,0.001137423,0.00007179011,0.000012747,0.9723149,0.001701442,0.01046298],"study_design_scores_gemma":[0.001637891,0.000682942,0.3794394,0.008601142,0.0001904853,0.00001812071,0.0003592119,0.006367342,0.0006191641,0.4271364,0.172881,0.002066901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8946891,0.08659848,0.001539475,0.0006962222,0.0002309912,0.0005152859,0.0006212777,0.00001380933,0.01509533],"genre_scores_gemma":[0.9462383,0.04860061,0.003713367,0.001216457,0.00008248493,0.00003580023,0.00001712762,0.00002339389,0.00007246716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5451785,"threshold_uncertainty_score":0.868589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207283171303382,"score_gpt":0.2457531448153963,"score_spread":0.125024827685058,"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."}}