{"id":"W3097433535","doi":"10.17269/s41997-020-00419-x","title":"On redesigning public health in Québec: lessons learned from the pandemic","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université de Montréal","funders":"Université de Montréal; Institut National de Santé Publique du Québec; Université du Québec à Montréal; Université de Sherbrooke; Faculty of Medicine, McGill University; McGill University","keywords":"Public health; Pandemic; Health promotion; Population health; Political science; Health care; Public relations; Health policy; Coronavirus disease 2019 (COVID-19); Business; Medicine; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01072329,0.0002680476,0.0009722666,0.0005108435,0.001834601,0.00009059638,0.0009513692,0.0002402079,0.00116122],"category_scores_gemma":[0.006154187,0.0002012832,0.0001581795,0.0009779179,0.000119865,0.0003962374,0.00005353765,0.003558755,0.000158089],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009332523,"about_ca_system_score_gemma":0.2672274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5373734,"about_ca_topic_score_gemma":0.9000524,"domain_scores_codex":[0.9901066,0.004633087,0.002043589,0.0003748423,0.0004498264,0.002392019],"domain_scores_gemma":[0.988338,0.002785652,0.001453417,0.000442164,0.0003220569,0.006658695],"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":[0.00002401759,0.00002658058,0.2187066,0.0001116812,0.0000445249,0.00003952284,0.03871283,0.000007264264,0.000001866664,0.006090099,0.4911845,0.2450505],"study_design_scores_gemma":[0.001286315,0.0004232024,0.1253336,0.0002039394,0.000003352814,0.000007559564,0.01017243,0.00002773108,6.064957e-8,0.0008871054,0.8614979,0.000156823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03370067,0.004956976,0.0009177886,0.9566945,0.0009551542,0.0006016758,0.0001528771,0.00004035261,0.001979999],"genre_scores_gemma":[0.5036801,0.001333304,0.0001953294,0.4936543,0.0008632972,0.00001425268,0.00003287787,0.00004410689,0.0001824822],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4699794,"threshold_uncertainty_score":0.9997519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4445536157899583,"score_gpt":0.45529477823614,"score_spread":0.01074116244618173,"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."}}