{"id":"W2397003521","doi":"10.2105/ajph.2016.303224","title":"Mobilizing Local Authorities Around Public Health Priorities","year":2016,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec","funders":"","keywords":"General partnership; Plan (archaeology); Public health; Business; Public administration; Environmental planning; Environmental health; Political science; Geography; Medicine; Nursing","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":[0.07028112,0.0009283348,0.001574156,0.01161611,0.008186504,0.01250919,0.003906202,0.003828455,0.02222186],"category_scores_gemma":[0.08566497,0.001307984,0.001140202,0.007071023,0.005250126,0.01045716,0.03127305,0.005883071,0.002653891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01891522,"about_ca_system_score_gemma":0.06722217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0254166,"about_ca_topic_score_gemma":0.04271749,"domain_scores_codex":[0.9511266,0.03600068,0.002091961,0.001868307,0.002615151,0.00629742],"domain_scores_gemma":[0.9277186,0.02748612,0.005665634,0.00397501,0.01675419,0.01840032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005316595,0.0009346374,0.06978564,0.008927854,0.0005775492,0.003679278,0.172121,0.002240491,0.00300901,0.0471446,0.2278254,0.4632229],"study_design_scores_gemma":[0.0002778056,0.0005044231,0.03684919,0.005836656,0.0002622485,0.0003184014,0.2823974,0.0007369251,0.001205093,0.01962599,0.6517594,0.0002265565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3033439,0.02316656,0.0169251,0.4596434,0.004762731,0.01071567,0.002180549,0.00150345,0.1777587],"genre_scores_gemma":[0.8829732,0.01017779,0.01758503,0.04899901,0.001688021,0.00824676,0.001599368,0.0002393908,0.02849143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07028112,"threshold_uncertainty_score":0.3716865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09509060552253902,"score_gpt":0.3414334066699904,"score_spread":0.2463428011474514,"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."}}