{"id":"W7162038768","doi":"10.82308/43396","title":"Station and city level modelling of bike-sharing system for Montreal","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cycling; TRIPS architecture; Regression analysis; Mode (computer interface); Affect (linguistics); Plan (archaeology); Climate change; Driving factors","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":[0.0002315254,0.0008618564,0.000546627,0.0006166444,0.0008471976,0.001412876,0.001418952,0.001268327,0.006377301],"category_scores_gemma":[0.0006308128,0.0004586105,0.0009516689,0.0008146933,0.0004194182,0.0004937264,0.0005234543,0.0007746222,0.0005939311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004115884,"about_ca_system_score_gemma":0.003046829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.827943,"about_ca_topic_score_gemma":0.7646589,"domain_scores_codex":[0.9998549,0.00001928185,0.00000539097,0.00004247944,0.00002597142,0.00005189751],"domain_scores_gemma":[0.9997802,0.00005434979,0.00002295933,0.00001393643,0.000094802,0.00003369937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000526596,0.00004953422,0.02224443,0.00003594294,0.00004752093,0.000145373,0.00007120307,0.9717228,0.001150015,0.0009713224,0.001298894,0.00221032],"study_design_scores_gemma":[0.00001324959,0.00001321018,0.01167537,0.000004976242,0.00001914545,0.000006466691,0.00006471661,0.9872032,0.0001164525,0.00008976318,0.0007780742,0.00001533674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668549,0.0002636689,0.009201602,0.0003544088,0.00006158727,0.00006859806,0.007540396,0.0005375071,0.0151174],"genre_scores_gemma":[0.9906756,0.0001004095,0.002177958,0.00002644666,0.000008846203,0.00003535827,0.002290392,0.0000405863,0.004644458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172057,"threshold_uncertainty_score":0.3461406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155397719535563,"score_gpt":0.3342560132630581,"score_spread":0.2187162413095018,"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."}}