{"id":"W2735047115","doi":"10.24095/hpcdp.37.7.03","title":"Commentary - Is the future of “population/public health” in Canada united or divided? Reflections from within the field","year":2017,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research; Alberta Innovates; Institute of Musculoskeletal Health and Arthritis; Public Health Agency; Public Health Agency of Canada","keywords":"Candidacy; Public health; Conviction; Credibility; Population; Political science; Population health; Medicine; Law; Nursing; Environmental health; Politics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01164421,0.0006918154,0.001434082,0.001543185,0.0280535,0.01109005,0.007433599,0.03032951,0.006835745],"category_scores_gemma":[0.05157818,0.0005411441,0.00119201,0.003113882,0.02221951,0.005368643,0.003672741,0.03507696,0.001833651],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09763826,"about_ca_system_score_gemma":0.1641386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8644387,"about_ca_topic_score_gemma":0.9114281,"domain_scores_codex":[0.9839815,0.004485327,0.0006853655,0.00162246,0.006321134,0.002904178],"domain_scores_gemma":[0.9461351,0.020511,0.00207515,0.0005789812,0.02364801,0.00705165],"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":[0.00002230256,0.000004951516,0.0002532825,0.0001638768,0.00001022534,0.0004217072,0.00807462,0.00005690659,0.000139818,0.008388508,0.9793376,0.00312615],"study_design_scores_gemma":[0.00002376994,0.00001232239,0.001742846,0.001409205,0.00003611492,0.0004251972,0.03174813,0.0001888621,0.0002699068,0.00692657,0.9570941,0.0001229213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000463393,0.001656133,0.00007240567,0.9783353,0.01665142,0.000007685315,0.0000595222,0.00001058553,0.002743518],"genre_scores_gemma":[0.01871114,0.002976276,0.0002469771,0.95498,0.0159213,0.00002702903,0.00004093981,0.00006073811,0.007035612],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9023618,"threshold_uncertainty_score":0.7084185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087694100682283,"score_gpt":0.4627067944872917,"score_spread":0.3539373844190635,"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."}}