{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003056013,0.0006950522,0.000976808,0.0001728686,0.0001310323,0.0001486273,0.0004678361,0.0004309688,0.0000230134],"category_scores_gemma":[0.00008798868,0.000685189,0.00005992359,0.0002803571,0.0001838474,0.000407533,0.0001618078,0.0003993815,5.123784e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522469,"about_ca_system_score_gemma":0.000153179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3221336,"about_ca_topic_score_gemma":0.9902899,"domain_scores_codex":[0.997398,0.00004895289,0.0004860781,0.0008611422,0.0003892237,0.0008166457],"domain_scores_gemma":[0.9985287,0.00008762372,0.0001871909,0.0008069601,0.00005801377,0.0003314659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007097755,0.0001560916,0.9310223,0.001189855,0.0002040825,0.00001032268,0.0004319865,0.001512227,0.0008935369,0.0002931818,0.05039351,0.01382193],"study_design_scores_gemma":[0.006574763,0.0008326285,0.3426398,0.004627028,0.0004169062,0.00008167627,0.004235086,0.2663983,0.01733904,0.001254163,0.346844,0.008756512],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7040321,0.02820148,0.2516244,0.00246475,0.0002488908,0.005535724,0.001218781,0.004109401,0.002564426],"genre_scores_gemma":[0.9571189,0.0006727685,0.03696504,0.00009494893,0.0001536628,0.001651021,0.00006713546,0.0005469034,0.0027296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6681563,"threshold_uncertainty_score":0.9995599,"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."}}