{"id":"W4417285317","doi":"10.14745/ccdr.v51i101112a02f","title":"Évaluation de l’initiative canadienne de dépistage amélioré de la tuberculose chez les migrants : leçons tirées de l’application en Alberta","year":2025,"lang":"","type":"article","venue":"Relevé des maladies transmissibles au Canada","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Immigration; Government (linguistics); Population; Public policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01801151,0.001112781,0.001385561,0.000761561,0.003415292,0.003521976,0.002275885,0.001912447,0.00377652],"category_scores_gemma":[0.01481522,0.0005298228,0.001708525,0.001607701,0.001638322,0.0009473984,0.002409301,0.001849747,0.0002593063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07588948,"about_ca_system_score_gemma":0.2096459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9517561,"about_ca_topic_score_gemma":0.9692462,"domain_scores_codex":[0.9849175,0.006932856,0.0006163182,0.0005993922,0.003284547,0.003649415],"domain_scores_gemma":[0.9872158,0.002488931,0.0007423391,0.000318027,0.00591133,0.003323663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.07238659,0.01480461,0.2803574,0.007472896,0.002969482,0.001156814,0.01736379,0.01970932,0.004842715,0.01611412,0.02502537,0.5377969],"study_design_scores_gemma":[0.03110718,0.05963726,0.7392883,0.007991911,0.007348303,0.0003749613,0.03282349,0.0102736,0.006522254,0.002531019,0.1016833,0.0004183764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227576,0.01389266,0.002195209,0.02207808,0.001145255,0.007482209,0.002332375,0.0001031171,0.02801359],"genre_scores_gemma":[0.9735485,0.004463559,0.005939134,0.003723533,0.0001895346,0.002461361,0.0007950581,0.00003017339,0.008849211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07588948,"threshold_uncertainty_score":0.5506192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763813384393273,"score_gpt":0.2857282707679712,"score_spread":0.2680901369240384,"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."}}