{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001692806,0.0003606242,0.0003198278,0.001164591,0.002184686,0.002061862,0.0009641424,0.0005402927,0.00211691],"category_scores_gemma":[0.006208025,0.0001678669,0.0001499579,0.001343803,0.001021348,0.001241742,0.00202831,0.001541323,0.0002677229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009206616,"about_ca_system_score_gemma":0.00428195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4367649,"about_ca_topic_score_gemma":0.5329313,"domain_scores_codex":[0.9981901,0.0004114949,0.00004458378,0.0001677009,0.0007079506,0.000478149],"domain_scores_gemma":[0.9964138,0.0007457955,0.000666191,0.0002126053,0.001643347,0.0003182508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004208814,0.0008339614,0.6167962,0.0004654067,0.0001710917,0.002368537,0.02479984,0.02920763,0.003980372,0.006909337,0.01970653,0.2943403],"study_design_scores_gemma":[0.00003201458,0.0006958364,0.8518225,0.000198705,0.00006074512,0.0002723277,0.06341581,0.03797054,0.0020235,0.001177072,0.04226416,0.00006690936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787339,0.0003233422,0.00152868,0.0008976211,0.00003895808,0.0001252032,0.0001394564,0.00005578838,0.01815708],"genre_scores_gemma":[0.9952122,0.0002148055,0.001017794,0.0001787854,0.00001536273,0.00001869138,0.0001681293,0.00001616238,0.00315814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5632351,"threshold_uncertainty_score":0.8684453,"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."}}