{"id":"W7062092568","doi":"","title":"Show me where we are going : measuring and comparing accessibility to jobs by public transport for individuals with physical disability in Montréal and Toronto, Canada","year":2018,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public transport; Physical disability; Physical activity; Public policy; Data collection","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":[0.001008263,0.0007446245,0.0004907339,0.002047498,0.004461352,0.002320568,0.002244021,0.0006588472,0.005089066],"category_scores_gemma":[0.003521572,0.0004436346,0.001026037,0.00582482,0.00123713,0.0007635738,0.00201439,0.001017228,0.0007087023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04578509,"about_ca_system_score_gemma":0.07374115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990023,"about_ca_topic_score_gemma":0.9997289,"domain_scores_codex":[0.9989402,0.0001183438,0.00005049989,0.0001361922,0.0003525308,0.0004023026],"domain_scores_gemma":[0.9965749,0.0001489347,0.0003045307,0.00007246889,0.001849232,0.001049869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001737359,0.0001936342,0.9425315,0.0002092955,0.0001535132,0.0002292542,0.008336671,0.0007318078,0.0002754435,0.0006658977,0.02310452,0.02339467],"study_design_scores_gemma":[0.00001222619,0.00002724943,0.9883631,0.000108454,0.00003945995,0.00002570271,0.00759353,0.0003109988,0.00008382832,0.00003451099,0.003374415,0.00002656781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579399,0.002369935,0.0005972399,0.002347217,0.0001083386,0.0004559957,0.02242302,0.00007970842,0.01367857],"genre_scores_gemma":[0.9790531,0.001469221,0.001179425,0.0002782572,0.0000260998,0.0002143213,0.006018152,0.00003455176,0.01172684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04578509,"threshold_uncertainty_score":0.3321956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142515635518676,"score_gpt":0.219854399817494,"score_spread":0.2084292434623073,"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."}}