{"id":"W7117039183","doi":"10.31235/osf.io/stw6y_v1","title":"Fines, Not Fares: The Punitive Nature of Transit Enforcement","year":2025,"lang":"","type":"article","venue":"","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Punitive damages; Revenue; Deterrence theory; Debt; Public transport; Deterrence (psychology); Transit (satellite)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00331143,0.000195323,0.0003551585,0.001878654,0.005136808,0.003147566,0.001105436,0.0006721901,0.003058726],"category_scores_gemma":[0.02285804,0.0002574739,0.0002491311,0.002440391,0.005739194,0.001356563,0.00191888,0.00178942,0.0001557868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01475826,"about_ca_system_score_gemma":0.01241004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6527644,"about_ca_topic_score_gemma":0.8814484,"domain_scores_codex":[0.9935459,0.001426626,0.0002453505,0.0003913616,0.003000576,0.001390053],"domain_scores_gemma":[0.9801792,0.003581168,0.009070796,0.001265051,0.003621915,0.002281932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001607306,0.0002851562,0.8783241,0.0001030388,0.0001151056,0.0004539788,0.01384244,0.001272695,0.00049353,0.01596306,0.00839352,0.0805927],"study_design_scores_gemma":[0.000007182243,0.00004157626,0.9778977,0.00009284994,0.00001738472,0.00008763142,0.01305591,0.0008348546,0.0001071641,0.00174066,0.006089481,0.00002761935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650312,0.0003948914,0.0009654601,0.004068011,0.00004225428,0.00006808697,0.0002410847,0.00001835436,0.0291706],"genre_scores_gemma":[0.9980259,0.0001335135,0.000183406,0.0002483646,0.000009768333,0.000009259142,0.00003993692,0.000004292887,0.001345623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6527644,"threshold_uncertainty_score":0.698561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651862711568021,"score_gpt":0.3736571212713298,"score_spread":0.3471384941556496,"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."}}