{"id":"W4237780189","doi":"10.32920/ryerson.14663544.v1","title":"No free rides: winners and losers of the TTC U-pass","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia","funders":"","keywords":"Context (archaeology); Transit (satellite); Welfare; Business; Finance; Public transport; Geography; Economics; Transport engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002819497,0.0003073191,0.0006624616,0.001344023,0.005463722,0.006563957,0.0009919802,0.001149391,0.0143292],"category_scores_gemma":[0.01167774,0.0002693035,0.0004694745,0.001789966,0.003361529,0.003576219,0.005225512,0.001778856,0.001657284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007032446,"about_ca_system_score_gemma":0.006790964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.313401,"about_ca_topic_score_gemma":0.6049002,"domain_scores_codex":[0.9971861,0.0004662215,0.00007183434,0.0002068508,0.0008888695,0.001180167],"domain_scores_gemma":[0.9937409,0.0005156877,0.000818846,0.0003835648,0.001152752,0.003388263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001514842,0.0004716548,0.5515125,0.0001845385,0.00027821,0.001280154,0.03351537,0.001094551,0.0004156895,0.02402184,0.1684399,0.2172707],"study_design_scores_gemma":[0.00007860716,0.000603635,0.6178191,0.0004220589,0.0002081817,0.0005030673,0.2318386,0.001642096,0.0004700612,0.009787752,0.1364811,0.0001457173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251583,0.001278931,0.0004067869,0.01697157,0.0003773481,0.00006713013,0.001394074,0.00004992139,0.05429607],"genre_scores_gemma":[0.9849547,0.0004404273,0.0001518053,0.0008150929,0.00006116502,0.00002109771,0.000437022,0.00002816729,0.01309039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.686599,"threshold_uncertainty_score":0.6231536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018106688199997,"score_gpt":0.2838317457119232,"score_spread":0.2636506788299232,"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."}}