{"id":"W2242758376","doi":"","title":"Tackling Fare Evasion on Calgary Transit’s CTrain System","year":2013,"lang":"en","type":"article","venue":"Transportation research circular","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Public transport; Transport engineering; Enforcement; Payment; Business; Engineering; Finance; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666613,0.0001549024,0.0001905101,0.0003566389,0.001136396,0.0001592066,0.0002661175,0.0002167374,0.000626348],"category_scores_gemma":[0.00008947165,0.000160584,0.0001142566,0.0008623823,0.0002083408,0.0004426065,9.047259e-7,0.0004355113,0.000362193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198771,"about_ca_system_score_gemma":0.0002602151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007904753,"about_ca_topic_score_gemma":0.00134956,"domain_scores_codex":[0.9962928,0.0005151347,0.0004061354,0.0004340852,0.001730995,0.0006208412],"domain_scores_gemma":[0.9984711,0.0003028702,0.00006920189,0.0002352957,0.0006070332,0.0003145393],"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":[0.0003163665,0.000827223,0.06078294,0.001498326,0.0002737848,0.0005308755,0.2045009,0.120738,0.01043198,0.5518056,0.009456617,0.03883749],"study_design_scores_gemma":[0.003454048,0.0004664079,0.8049706,0.001312149,0.0001210243,0.000002165506,0.1007891,0.01441162,0.001753041,0.002166248,0.06908248,0.001471081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9131783,0.0002908497,0.04768429,0.004533483,0.0004706909,0.002848274,0.00007795137,0.0009677852,0.02994841],"genre_scores_gemma":[0.9978564,0.00007556648,0.0006900746,0.0001341511,0.0001111197,0.0001786474,0.0004027875,0.00003202571,0.00051919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7441877,"threshold_uncertainty_score":0.9987017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05629050372824674,"score_gpt":0.3480373234872812,"score_spread":0.2917468197590344,"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."}}