{"id":"W4403095034","doi":"10.14745/ccdr.v50i10a01f","title":"Leçons tirées de la COVID-19 : mobiliser les connaissances locales pour obtenir de meilleurs résultats en matière de vaccination","year":2024,"lang":"fr","type":"article","venue":"Relevé des maladies transmissibles au Canada","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Physics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008622275,0.0005506599,0.0006928612,0.0008948696,0.004635967,0.003492211,0.001275953,0.0009653377,0.01967171],"category_scores_gemma":[0.01681917,0.0004020797,0.0005977602,0.0009348526,0.001319224,0.001880889,0.00418186,0.001923512,0.00204407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01202365,"about_ca_system_score_gemma":0.04104183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6057215,"about_ca_topic_score_gemma":0.7838795,"domain_scores_codex":[0.9959931,0.001450845,0.0001274183,0.0003048488,0.0007175182,0.001406212],"domain_scores_gemma":[0.9888841,0.001863977,0.0005361724,0.0004178687,0.003026924,0.005271045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002623069,0.002902748,0.3109677,0.00127379,0.0004056768,0.0008766204,0.03091959,0.001985551,0.005111182,0.003604764,0.05804598,0.5812834],"study_design_scores_gemma":[0.001215929,0.005128212,0.6579326,0.003613106,0.0009567618,0.0004035521,0.08734068,0.002533186,0.004665349,0.003476991,0.2324188,0.0003148198],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8838629,0.007499811,0.0046329,0.05167373,0.001416322,0.00189363,0.001605327,0.0005205352,0.046895],"genre_scores_gemma":[0.9482689,0.002798251,0.009398812,0.006371593,0.0002639967,0.001057516,0.0009011126,0.0001279696,0.03081174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3942785,"threshold_uncertainty_score":0.793201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05538969646648995,"score_gpt":0.3868414099559758,"score_spread":0.3314517134894858,"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."}}