{"id":"W2787686584","doi":"10.1503/cmaj.171530","title":"The need for health in all policies in Canada","year":2018,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Commission; Work (physics); Social determinants of health; Distribution (mathematics); Health policy; Key (lock); Computer science; Data science; Environmental health; Public health; Medicine; Business; Pathology; Computer security; Finance; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005710002,0.0006760915,0.001145249,0.001060439,0.02625419,0.009102087,0.004330378,0.04214448,0.01859638],"category_scores_gemma":[0.02829626,0.0006952026,0.00150651,0.001719153,0.00846578,0.005093544,0.005604403,0.0458582,0.00190784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1373373,"about_ca_system_score_gemma":0.3957002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9641187,"about_ca_topic_score_gemma":0.9869072,"domain_scores_codex":[0.9890637,0.001060676,0.00052906,0.0006296804,0.004398815,0.004318101],"domain_scores_gemma":[0.9640247,0.005251768,0.0008421423,0.0005481997,0.009764188,0.01956904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002525247,0.00003134812,0.001076515,0.0001092594,0.00001664412,0.0008602256,0.0007657611,0.0001252617,0.0001281203,0.01670253,0.9660149,0.01414415],"study_design_scores_gemma":[0.00009143959,0.00003782914,0.003923465,0.0008477925,0.00003463098,0.0005402128,0.003436478,0.000484306,0.0001126996,0.01768181,0.9727015,0.0001078504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005706704,0.001498131,0.00004282656,0.9885989,0.003072216,0.00001335554,0.00007175492,0.00001355577,0.006118644],"genre_scores_gemma":[0.01468549,0.002024115,0.0003541456,0.9664069,0.003326845,0.00003127512,0.0001007939,0.00002519965,0.01304526],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1373373,"threshold_uncertainty_score":0.9964563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03581627731253104,"score_gpt":0.3027568243114725,"score_spread":0.2669405469989415,"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."}}