{"id":"W2890870650","doi":"","title":"Show Me Where We Are Going: Measuring and Comparing Accessibility to Jobs by Public Transport for Individuals with Physical Disability in Montreal and Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Transportation Research Board 97th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public transport; Business; Gerontology; Public administration; Political science; Transport engineering; Medicine; Engineering","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":[0.001859349,0.0007591933,0.0005827725,0.001928179,0.005215864,0.00242316,0.002647278,0.0007841939,0.002758442],"category_scores_gemma":[0.005013571,0.000476087,0.00127514,0.004854434,0.001539618,0.0009412226,0.002157747,0.001058285,0.0003198704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05156535,"about_ca_system_score_gemma":0.05384026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984742,"about_ca_topic_score_gemma":0.999559,"domain_scores_codex":[0.9983889,0.0002961106,0.00009779564,0.000210465,0.0004763078,0.00053042],"domain_scores_gemma":[0.9961432,0.0002665138,0.0004653215,0.00008507227,0.001930133,0.001109795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000177345,0.0001683549,0.971817,0.0001242766,0.00014216,0.0001078104,0.008294387,0.0004521884,0.0001904609,0.0003324648,0.006477884,0.01171564],"study_design_scores_gemma":[0.00001298909,0.00004003731,0.9904664,0.00008144664,0.00004192986,0.0000173056,0.007532419,0.000281176,0.00005724866,0.0000276558,0.001418566,0.0000228556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891305,0.001294467,0.0002214629,0.0009604811,0.00004728939,0.0002524195,0.003749272,0.00002237556,0.004321815],"genre_scores_gemma":[0.9937783,0.0008195813,0.0005759014,0.0001591311,0.00001471996,0.0001454795,0.001684372,0.00001114629,0.002811343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05156535,"threshold_uncertainty_score":0.3741345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07438716386568046,"score_gpt":0.3808491943986498,"score_spread":0.3064620305329694,"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."}}