{"id":"W4288333127","doi":"","title":"Inclusion de personnes à mobilité réduite au transport public","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Inclusion (mineral); Public transport; Computer science; Sociology; Transport engineering; Engineering; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001643738,0.000325804,0.0006076692,0.002175977,0.003627485,0.004543303,0.0009143044,0.002468193,0.03791036],"category_scores_gemma":[0.01729997,0.0002016503,0.0006874792,0.002483506,0.001266943,0.004158334,0.005066746,0.001910703,0.002633421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107376,"about_ca_system_score_gemma":0.003556593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03230966,"about_ca_topic_score_gemma":0.02719446,"domain_scores_codex":[0.9968348,0.0008899785,0.0001398536,0.0002958838,0.0006245672,0.001214912],"domain_scores_gemma":[0.993056,0.0018401,0.001293024,0.0003109075,0.00124699,0.002252877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001000499,0.0008232953,0.4342355,0.0009895752,0.0001922472,0.004413103,0.2918901,0.000229318,0.002252985,0.02754693,0.03907827,0.1973481],"study_design_scores_gemma":[0.00005667681,0.0004183626,0.5037875,0.002025795,0.0002051284,0.002521589,0.3381244,0.0004558953,0.0007488325,0.007517217,0.144063,0.00007561677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192687,0.002255123,0.000427784,0.02091225,0.0005186722,0.00005884693,0.0009175523,0.0000288889,0.05561218],"genre_scores_gemma":[0.9780481,0.001499674,0.0001483141,0.0008154236,0.0002259513,0.00008547763,0.000321452,0.00001489184,0.01884079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03791036,"threshold_uncertainty_score":0.1268228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366831344648922,"score_gpt":0.31409109644115,"score_spread":0.2804227829946607,"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."}}