{"id":"W4367843815","doi":"10.1017/s0022109023000613","title":"Public Disclosure and Consumer Financial Protection","year":2023,"lang":"en","type":"article","venue":"Journal of Financial and Quantitative Analysis","topic":"Legal principles and applications","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Business; Public access; Content (measure theory); Finance; Internet privacy; Advertising; Computer science","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":[0.006198034,0.0001210999,0.0003096584,0.001300682,0.0005205016,0.001835463,0.0003245488,0.0009998088,0.009405327],"category_scores_gemma":[0.05128453,0.0001265478,0.0002953944,0.001778971,0.001448598,0.001102251,0.0008970927,0.001039532,0.0003480538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127057,"about_ca_system_score_gemma":0.001272712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713037,"about_ca_topic_score_gemma":0.001918656,"domain_scores_codex":[0.9943533,0.002468008,0.0003264235,0.0004432442,0.00190027,0.0005087333],"domain_scores_gemma":[0.8760695,0.05347986,0.05798813,0.005986291,0.004905463,0.00157086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005417133,0.0007578771,0.7399847,0.0003696956,0.0002575072,0.0003825677,0.005808831,0.001571171,0.0007216822,0.05918364,0.01543288,0.1749877],"study_design_scores_gemma":[0.00009115721,0.0003339608,0.9223212,0.0003375298,0.0001346266,0.0006012869,0.002938197,0.002832128,0.001189066,0.04321107,0.02596647,0.00004338699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126952,0.004204109,0.002212905,0.01283134,0.00009452949,0.00006608827,0.0009142313,0.00007277458,0.06690867],"genre_scores_gemma":[0.9982367,0.000236736,0.0001441035,0.0003142614,0.00006564293,0.000007541824,0.00007376373,0.000003216494,0.0009179774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009405327,"threshold_uncertainty_score":0.03277874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09284960279841117,"score_gpt":0.3435394255135999,"score_spread":0.2506898227151887,"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."}}