{"id":"W3213180341","doi":"","title":"Accessibility to Healthcare via Public Transport across Canada","year":2019,"lang":"en","type":"article","venue":"Transportation Research Board 98th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Health care; Business; Public transport; Public health; Public relations; Internet privacy; Political science; Computer science; Medicine; Economic growth; Nursing; Transport engineering; Economics; 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":[0.000982657,0.0003880576,0.0006071106,0.002621129,0.005098609,0.003392992,0.001346626,0.0005740676,0.01217211],"category_scores_gemma":[0.004674979,0.0005216791,0.001148445,0.008309328,0.0007722854,0.001027597,0.001928538,0.001468444,0.0005943884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07662655,"about_ca_system_score_gemma":0.1722662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993187,"about_ca_topic_score_gemma":0.9996604,"domain_scores_codex":[0.9971591,0.0001797836,0.0001817745,0.0002972229,0.0009946283,0.001187491],"domain_scores_gemma":[0.9908288,0.0003350094,0.0005869303,0.0001370862,0.005876778,0.002235508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003678231,0.0002586045,0.7121812,0.0009611038,0.0004106069,0.0005808749,0.004968476,0.001815904,0.0004963013,0.01041894,0.1486237,0.1189165],"study_design_scores_gemma":[0.00002713188,0.00003177176,0.9601914,0.0003376746,0.00008070898,0.00008511918,0.003532201,0.0005843688,0.00008617669,0.0002667854,0.03473577,0.00004094405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6981452,0.0128457,0.00137458,0.02597471,0.0006960051,0.0005558928,0.1138121,0.0002688125,0.146327],"genre_scores_gemma":[0.9425205,0.006086385,0.001116327,0.001613599,0.00007651507,0.000184602,0.01111736,0.00006738857,0.03721727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07662655,"threshold_uncertainty_score":0.5559671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08014549922410624,"score_gpt":0.4360311992635155,"score_spread":0.3558857000394092,"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."}}