{"id":"W4407902926","doi":"10.2139/ssrn.5151689","title":"Peer Network and Financial Misconduct: An Analysis from the Perspective of Social Reciprocity","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Misconduct; Reciprocity (cultural anthropology); Perspective (graphical); Social network analysis; Psychology; Political science; Social psychology; Sociology; Computer science; Law; Social capital","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":[0.007245923,0.00033843,0.0008134697,0.003883591,0.002548675,0.003494939,0.001493562,0.002165183,0.01005704],"category_scores_gemma":[0.04397742,0.0002424376,0.0007852154,0.004470886,0.004157132,0.007313339,0.002893901,0.002194422,0.0005620075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868507,"about_ca_system_score_gemma":0.001636346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003458279,"about_ca_topic_score_gemma":0.002631152,"domain_scores_codex":[0.9944668,0.00345352,0.0001312373,0.0004794795,0.0007781083,0.0006908113],"domain_scores_gemma":[0.9101846,0.07315283,0.007906107,0.002237638,0.003888972,0.002629902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004872279,0.0003810963,0.1296483,0.0003236633,0.0003294803,0.001824,0.01030233,0.009944375,0.0004923151,0.784505,0.004558765,0.05720334],"study_design_scores_gemma":[0.000177025,0.0007805912,0.1421037,0.0003677093,0.0008442956,0.003565562,0.02867207,0.1068778,0.000676484,0.692799,0.02298521,0.0001504508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8580683,0.00323358,0.03406269,0.00849821,0.00008919807,0.0002140265,0.0003787254,0.0000537695,0.09540141],"genre_scores_gemma":[0.9968036,0.0005460764,0.0008012402,0.00005498995,0.0000777032,0.00003975062,0.00003078315,0.000007294547,0.001638476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005704,"threshold_uncertainty_score":0.0383206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413588973474023,"score_gpt":0.2533723363970219,"score_spread":0.2392364466622817,"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."}}