{"id":"W1745789422","doi":"10.1016/j.jth.2015.05.003","title":"“Putting school travel on the map”: Facilitators and barriers to implementing school travel planning in Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of Toronto","funders":"Health Canada; Public Health Agency of Canada","keywords":"Stakeholder; Government (linguistics); Psychological intervention; Thematic analysis; Variety (cybernetics); Multidisciplinary approach; Public relations; Medical education; Business; Psychology; Nursing; Qualitative research; Medicine; Political science; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004147581,0.0003161468,0.0005980922,0.001252231,0.01665206,0.006150671,0.003474458,0.001358142,0.006211468],"category_scores_gemma":[0.01773588,0.0006568794,0.0007012002,0.003424561,0.00345364,0.002301066,0.00463766,0.003467234,0.0003231147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06696752,"about_ca_system_score_gemma":0.2850415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898562,"about_ca_topic_score_gemma":0.9954246,"domain_scores_codex":[0.9930406,0.001499212,0.0003204271,0.0004223523,0.001540339,0.003177047],"domain_scores_gemma":[0.983474,0.002595752,0.001552486,0.0003478056,0.004958752,0.007071196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003115822,0.001034799,0.4593114,0.0009116356,0.0001126546,0.001043886,0.3744323,0.001301862,0.000910681,0.009704164,0.03583145,0.1150935],"study_design_scores_gemma":[0.00003382739,0.0001393224,0.4123037,0.001063177,0.000111483,0.0001477703,0.5355347,0.001262558,0.0005257149,0.000806738,0.04795751,0.0001134739],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648873,0.001045115,0.0004113722,0.01500731,0.0001242425,0.00024142,0.0003878057,0.00005536343,0.01784008],"genre_scores_gemma":[0.9954613,0.0005679618,0.0006697917,0.0005261606,0.000009176387,0.00005210292,0.00009206589,0.00001588734,0.002605629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06696752,"threshold_uncertainty_score":0.4858856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04109012280583025,"score_gpt":0.3288621154629385,"score_spread":0.2877719926571082,"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."}}