{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01812083,0.0007290113,0.001108671,0.000793707,0.003885942,0.0004665882,0.00275153,0.0007069689,0.002604719],"category_scores_gemma":[0.0006593453,0.0007770728,0.0004228055,0.007289869,0.001535162,0.002425744,0.00003219433,0.003212369,0.0003967581],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829058,"about_ca_system_score_gemma":0.007972985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9462112,"about_ca_topic_score_gemma":0.9960008,"domain_scores_codex":[0.9751103,0.002770493,0.002332618,0.002816553,0.01159808,0.005371991],"domain_scores_gemma":[0.983785,0.001541689,0.0003318324,0.001575701,0.009385928,0.003379827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009403273,0.0003979789,0.951646,0.0006387026,0.00007907698,0.0001573723,0.03302128,0.0001288312,0.0003755462,0.002946015,0.002323019,0.007345909],"study_design_scores_gemma":[0.001156317,0.0003361174,0.8376297,0.0001751624,0.00001741619,8.847898e-8,0.03259639,0.00001923649,0.0004366941,0.0009469084,0.1259418,0.0007441526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655224,0.0002276424,0.0005461666,0.0214788,0.0008495465,0.005465052,0.001639729,0.0004416686,0.003828959],"genre_scores_gemma":[0.9925026,0.0001330956,0.0006716233,0.0007496922,0.0004693488,0.0007375906,0.0009546364,0.0001485167,0.003632941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1236188,"threshold_uncertainty_score":0.999468,"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."}}