{"id":"W592211146","doi":"10.71781/3130","title":"Les relations entre le transport actif et l'environnement urbain : le cas d'usagers du train de banlieue de Montréal","year":2010,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; 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":[0.0008476615,0.0003740483,0.0003927956,0.001822024,0.006112724,0.004511486,0.001399204,0.0006939106,0.008109782],"category_scores_gemma":[0.003015613,0.0002697516,0.0003444466,0.004577858,0.003240388,0.001481394,0.003494799,0.0008768573,0.0004261289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02675754,"about_ca_system_score_gemma":0.01370232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.977843,"about_ca_topic_score_gemma":0.9879357,"domain_scores_codex":[0.9987121,0.0003113559,0.00003700725,0.0001932941,0.0002284008,0.0005179078],"domain_scores_gemma":[0.9983976,0.0003463173,0.000284161,0.00006408466,0.0005205993,0.0003871093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001530425,0.0001093383,0.6775657,0.0002163878,0.00009901146,0.001030316,0.267493,0.0009987523,0.001560021,0.01320745,0.002710363,0.03485668],"study_design_scores_gemma":[0.000005305399,0.00005565722,0.726263,0.0001265883,0.00003916385,0.00008947201,0.2526651,0.0006376283,0.0002329469,0.0003319303,0.01948714,0.00006603888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862526,0.0005015715,0.0003153899,0.0006735179,0.00001172882,0.0000323361,0.0003067795,0.00001028865,0.01189574],"genre_scores_gemma":[0.99136,0.0003436627,0.0001450403,0.00005187534,0.000004110412,0.00002339331,0.0001246714,0.000008566206,0.007938726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02675754,"threshold_uncertainty_score":0.1941404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848240631407182,"score_gpt":0.2907445326956798,"score_spread":0.272262126381608,"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."}}