{"id":"W4312717911","doi":"10.2139/ssrn.4244525","title":"Look behind the Curtain: The Direct and Indirect Impact of Non-cognitive Skills on Stock Market Participation","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stock market; Stock (firearms); Iron Curtain; Business; Engineering; Political science; Law; Geography; Politics","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":[0.001494202,0.0003357881,0.0005439081,0.0006768297,0.000634445,0.002824581,0.0009207798,0.002151693,0.02419001],"category_scores_gemma":[0.02090783,0.0003216027,0.0006543994,0.0007306997,0.001229685,0.001482111,0.00241824,0.002175256,0.002422014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004682963,"about_ca_system_score_gemma":0.001202474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0126776,"about_ca_topic_score_gemma":0.01939803,"domain_scores_codex":[0.9988974,0.0003562226,0.00004732851,0.0001770369,0.000157703,0.0003643876],"domain_scores_gemma":[0.9592795,0.02183108,0.005233291,0.001783679,0.001030373,0.01084204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00119789,0.001304067,0.9718864,0.00007728596,0.0003935685,0.0003081287,0.00152066,0.0004896194,0.001381417,0.001476913,0.001397582,0.01856643],"study_design_scores_gemma":[0.00003723258,0.0001870659,0.9962495,0.00002568902,0.0001166444,0.0000433565,0.0008255141,0.0003734733,0.0002019342,0.001410318,0.0005177602,0.00001149994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916368,0.0002917761,0.0001009884,0.001075122,0.00002275079,0.000007593297,0.0002529433,0.00001016724,0.00660188],"genre_scores_gemma":[0.9972463,0.00008477994,0.00004743847,0.0001835532,0.0000345111,0.000005184192,0.00009984193,0.000007015429,0.002291418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02419001,"threshold_uncertainty_score":0.08092362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336841347784787,"score_gpt":0.2441771174479833,"score_spread":0.2308087039701354,"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."}}