{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06556404,0.001675459,0.002128113,0.005083564,0.009320622,0.006565851,0.007389886,0.006510364,0.0139655],"category_scores_gemma":[0.03502381,0.0006948115,0.00248047,0.006925125,0.004982149,0.002424971,0.006337687,0.006303161,0.002033771],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1441692,"about_ca_system_score_gemma":0.7737001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889865,"about_ca_topic_score_gemma":0.9884695,"domain_scores_codex":[0.964887,0.006954653,0.001442849,0.001519907,0.01800855,0.007187049],"domain_scores_gemma":[0.9158188,0.008224003,0.001719758,0.001395673,0.04102221,0.03181968],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008336204,0.0008247567,0.01196694,0.008386884,0.0003629269,0.000281359,0.001884716,0.001063596,0.0008511512,0.02529507,0.5793373,0.3689117],"study_design_scores_gemma":[0.0008497973,0.0009186156,0.08417884,0.008843959,0.0007000606,0.0001817906,0.004589409,0.001869039,0.001271065,0.007357038,0.8890111,0.0002293438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009900616,0.1279657,0.006544993,0.7521771,0.01066164,0.003256204,0.01859504,0.001654608,0.06924418],"genre_scores_gemma":[0.1404339,0.251883,0.1573273,0.2291732,0.004489944,0.007323715,0.04570322,0.0008413211,0.1628245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.934436,"threshold_uncertainty_score":0.9926424,"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."}}