{"id":"W2100685905","doi":"10.1093/heapro/dar071","title":"Healthy public in all policies","year":2011,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Police Service","funders":"","keywords":"Charter; Politics; Public policy; Political science; Argument (complex analysis); Context (archaeology); Civil society; Corporate governance; Public health; Public administration; Action (physics); Social connectedness; Public relations; Health policy; Sociology; Medicine; Psychology; Social psychology; Business; Law; Health care","routes":{"ca_aff":true,"ca_fund":false,"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":[0.009016278,0.0005794692,0.0004689716,0.001472631,0.00861952,0.0135892,0.001285698,0.009590216,0.01860063],"category_scores_gemma":[0.0192283,0.0003520382,0.000614332,0.001359258,0.01830892,0.008009629,0.006240511,0.008486993,0.002320627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01365644,"about_ca_system_score_gemma":0.03985049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09847246,"about_ca_topic_score_gemma":0.1470687,"domain_scores_codex":[0.9897817,0.00355047,0.0002750602,0.0009000953,0.002450281,0.00304229],"domain_scores_gemma":[0.9909241,0.003130759,0.0007886799,0.001513201,0.001264419,0.002378842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000883594,0.00001278753,0.0003295557,0.00004317834,0.00000401684,0.00003448123,0.001001912,0.0001507575,0.00004973651,0.9501091,0.03982063,0.008434992],"study_design_scores_gemma":[0.00001019917,0.00002485947,0.001711354,0.0002781168,0.00001131827,0.00004746507,0.001995015,0.0001569411,0.0002551353,0.2292415,0.7662372,0.00003076869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.006910947,0.007995551,0.005094764,0.4751965,0.004327186,0.00009355872,0.0002941816,0.0002286963,0.4998586],"genre_scores_gemma":[0.616919,0.00594707,0.007930829,0.1589161,0.002219277,0.0002308486,0.0003255661,0.0001655796,0.2073457],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09847246,"threshold_uncertainty_score":0.1957986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2457421967854803,"score_gpt":0.3932704059354334,"score_spread":0.1475282091499531,"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."}}