{"id":"W4385913134","doi":"10.1016/j.tra.2023.103788","title":"Scaling up active transportation across North America: A comparative content analysis of policies through a social equity framework","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; U.S. Department of Transportation","keywords":"Equity (law); Business; Public economics; Government (linguistics); Economics; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002393466,0.0001870202,0.0005639895,0.0003995695,0.001665375,0.0001339817,0.0002833304,0.0001853708,0.0001089884],"category_scores_gemma":[0.001221996,0.0001872902,0.0002306225,0.008157996,0.001708749,0.001463998,0.000009505194,0.0005738644,0.00001253473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047211,"about_ca_system_score_gemma":0.0004835899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.10439,"about_ca_topic_score_gemma":0.1026958,"domain_scores_codex":[0.9956844,0.0009665154,0.0006602718,0.0004677507,0.001396032,0.0008249565],"domain_scores_gemma":[0.9937531,0.004456067,0.0003930992,0.0001859084,0.001013339,0.0001984293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001310976,0.0002403413,0.05974326,0.0000940585,0.001014605,0.00001218914,0.8959317,0.0003656207,0.000100451,0.03650015,0.0002695645,0.004417106],"study_design_scores_gemma":[0.0003314576,0.00005680749,0.7975681,0.00002579128,0.0004165784,2.628607e-8,0.1749483,0.00005561889,0.0001070639,0.002145943,0.02416739,0.0001768389],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876679,0.00006993638,0.001152498,0.006367419,0.00006880526,0.0005809871,0.001877169,0.0001069776,0.002108328],"genre_scores_gemma":[0.9973061,0.0007681047,0.000214877,0.0002808888,0.0002366792,0.00009987442,0.0007994047,0.00001236265,0.0002817135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7378249,"threshold_uncertainty_score":0.9996343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4942099484869579,"score_gpt":0.5904657813436628,"score_spread":0.09625583285670491,"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."}}