{"id":"W7011068480","doi":"","title":"Le transport urbain équitable: cas de la Grande Région de Montréal","year":2005,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Urban environment; Term (time); Natural (archaeology)","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":[0.0004569969,0.0006416255,0.000305452,0.0009652407,0.005981787,0.002888744,0.001086285,0.001973315,0.02507071],"category_scores_gemma":[0.001975502,0.0003135785,0.0004417879,0.002367371,0.001356557,0.0008855964,0.001885763,0.001727107,0.000795233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02226135,"about_ca_system_score_gemma":0.02684271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.950619,"about_ca_topic_score_gemma":0.9794157,"domain_scores_codex":[0.9992168,0.00009204864,0.0000227799,0.00007276696,0.0001467581,0.0004488889],"domain_scores_gemma":[0.9991022,0.0001247102,0.0001498623,0.00002579521,0.0001737667,0.0004236474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008001906,0.0005975636,0.3761938,0.001109184,0.0003904667,0.07158267,0.01701939,0.006216278,0.003502322,0.1430519,0.1588143,0.220722],"study_design_scores_gemma":[0.0001648578,0.000221804,0.4595533,0.0009942586,0.0002216071,0.01611567,0.02923443,0.004114304,0.001042163,0.005414973,0.4827218,0.0002009245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7403533,0.01767654,0.002017453,0.03762309,0.000610368,0.0002347505,0.004824614,0.0001942669,0.1964656],"genre_scores_gemma":[0.9046108,0.005870926,0.0009086844,0.001333048,0.0001884903,0.00006600648,0.0007983508,0.00007964317,0.08614405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04938102,"threshold_uncertainty_score":0.1615181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007422162210913647,"score_gpt":0.2518970318425986,"score_spread":0.2444748696316849,"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."}}