{"id":"W2284231817","doi":"10.2139/ssrn.2739170","title":"The Market for Financial Adviser Misconduct","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Misconduct; Business; Reputation; Finance; Sophistication; Actuarial science; Political science; Law; Sociology","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":[0.02655351,0.0004834102,0.001518588,0.00617473,0.006070193,0.01192987,0.002752146,0.02451971,0.1189748],"category_scores_gemma":[0.1912847,0.0007044352,0.001100432,0.004041641,0.002399707,0.005630818,0.003298659,0.009017305,0.0420339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003010401,"about_ca_system_score_gemma":0.01252432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689875,"about_ca_topic_score_gemma":0.004894573,"domain_scores_codex":[0.9743872,0.005239618,0.002650196,0.002633766,0.01255247,0.002536588],"domain_scores_gemma":[0.8113831,0.07662601,0.01924188,0.02029535,0.05678491,0.01566872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009473504,0.0000628139,0.00585949,0.00010588,0.00004723452,0.0006040324,0.0002652105,0.00007702375,0.0001321295,0.02400129,0.9208064,0.04794383],"study_design_scores_gemma":[0.00008809642,0.00008329863,0.007065581,0.001137497,0.0001046159,0.001213817,0.0006811154,0.002065475,0.000801492,0.04160295,0.9450755,0.00008052533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01851248,0.007184914,0.0041387,0.512813,0.03863561,0.0004549776,0.003471796,0.001615914,0.4131725],"genre_scores_gemma":[0.2230458,0.005532545,0.005305131,0.1463295,0.02277181,0.0007897542,0.002170125,0.0007402985,0.593315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1189748,"threshold_uncertainty_score":0.3980103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127492915759856,"score_gpt":0.2079229296420033,"score_spread":0.1951736380660177,"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."}}