{"id":"W2298539452","doi":"10.2139/ssrn.2741991","title":"Technological Peer Pressure and Product Disclosure","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Peer pressure; Product (mathematics); Psychology; Social psychology; Mathematics","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":[0.002415021,0.0001216622,0.0002220265,0.001121381,0.0008242618,0.003760307,0.0003388263,0.001715541,0.01422016],"category_scores_gemma":[0.0431135,0.0001637973,0.0002206739,0.001220454,0.001418421,0.002533732,0.001393257,0.001220124,0.001008097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004942265,"about_ca_system_score_gemma":0.0007481032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008735882,"about_ca_topic_score_gemma":0.001003752,"domain_scores_codex":[0.9981312,0.0008035363,0.000147671,0.0001414124,0.0005178198,0.000258409],"domain_scores_gemma":[0.907711,0.06064804,0.02327296,0.002060527,0.002512093,0.003795332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002910101,0.002914303,0.812103,0.0002179186,0.0001952897,0.002749986,0.008307298,0.001708962,0.002499949,0.06323732,0.004579863,0.09857599],"study_design_scores_gemma":[0.0001843699,0.001151098,0.919618,0.00009976322,0.0001617872,0.001780749,0.007253798,0.003225217,0.001451188,0.05601453,0.008997535,0.00006202787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966049,0.001406417,0.0003246675,0.00319068,0.00004522364,0.00001296906,0.0000586542,0.00001076326,0.02890149],"genre_scores_gemma":[0.9972373,0.0003675212,0.00004740254,0.00007173909,0.00008733007,0.00000331822,0.00001721402,0.000002785348,0.002165274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01422016,"threshold_uncertainty_score":0.04757112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005218892984459169,"score_gpt":0.1957998568044238,"score_spread":0.1905809638199647,"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."}}