{"id":"W2114423289","doi":"10.1071/nb10072","title":"Population Health Intervention Research Initiative for Canada: progress and prospects","year":2011,"lang":"en","type":"article","venue":"New South Wales Public Health Bulletin","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; Canadian Foundation for Healthcare Improvement; The Quebec Population Health Research Network; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates; Institute of Population and Public Health; Michael Smith Health Research BC; University of Toronto; Fondation pour la Recherche Médicale","keywords":"Redress; Intervention (counseling); Population health; Population; Public relations; Health policy; Political science; Economic growth; Business; Medicine; Public health; Nursing; Environmental health; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01684924,0.0002332994,0.0005265609,0.0004558327,0.002811943,0.00004900216,0.0003334214,0.0001550141,0.0007551294],"category_scores_gemma":[0.003833642,0.0002232662,0.00004548662,0.0007571327,0.0001738063,0.0001953605,0.0001886958,0.000838386,0.00008816362],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426288,"about_ca_system_score_gemma":0.0191551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6401545,"about_ca_topic_score_gemma":0.519561,"domain_scores_codex":[0.9898031,0.00414243,0.001845317,0.0007289359,0.0009758261,0.002504344],"domain_scores_gemma":[0.9943611,0.001327444,0.001144608,0.0004005961,0.0008365273,0.001929713],"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":[0.0001246341,0.0001046421,0.1937999,0.002943894,0.00002163677,0.000001639615,0.176087,1.531754e-7,2.68632e-7,0.03347065,0.5360598,0.05738579],"study_design_scores_gemma":[0.002141129,0.0006993596,0.3527399,0.0003606678,0.000001823784,0.000002210412,0.02356535,0.00003570299,0.00000113257,0.001451297,0.6188052,0.0001962636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1161697,0.0008095581,0.004024278,0.8603289,0.001204694,0.01470536,0.0006439585,0.0003082988,0.001805258],"genre_scores_gemma":[0.9298491,0.00004639713,0.01104394,0.0554814,0.000461522,0.001573978,0.0001756274,0.0000588342,0.001309228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8136794,"threshold_uncertainty_score":0.9984863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7845293670786092,"score_gpt":0.6411257055088092,"score_spread":0.1434036615698,"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."}}