{"id":"W6945125151","doi":"10.25318/82-003-x201900400001-fra","title":"Effet de l'immigrant en bonne santé par catégorie d'immigrants au Canada","year":2019,"lang":"fr","type":"article","venue":"Statistics Canada Dissemination","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Period (music); Qualitative analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.004097702,0.0003610579,0.0006776704,0.001785469,0.002916917,0.002469402,0.001264483,0.0007950516,0.002625571],"category_scores_gemma":[0.01719751,0.0002996995,0.001178019,0.004480604,0.001467515,0.0006404723,0.001516405,0.001218982,0.0001697435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01638648,"about_ca_system_score_gemma":0.03651981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.981432,"about_ca_topic_score_gemma":0.9871122,"domain_scores_codex":[0.9962758,0.001036962,0.0003423471,0.0004466607,0.0009799056,0.0009182502],"domain_scores_gemma":[0.9895533,0.003366784,0.001795824,0.0004537496,0.003159935,0.001670455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002816486,0.00003187924,0.9828211,0.0002009894,0.000296913,0.00009699479,0.00447445,0.0001342379,0.0001331021,0.0003973875,0.001350163,0.009781195],"study_design_scores_gemma":[0.00001953613,0.00005637374,0.987309,0.0004737932,0.000228286,0.00005906864,0.007713524,0.0001230521,0.00013415,0.0000889137,0.003773441,0.00002091681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849502,0.003893432,0.000234019,0.002252034,0.00006630499,0.00006413099,0.004789693,0.00001525205,0.003734823],"genre_scores_gemma":[0.9915479,0.002752594,0.0003761522,0.0007532823,0.00001835393,0.00009932426,0.00145801,0.00001359424,0.002980875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01856804,"threshold_uncertainty_score":0.1188928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177571714808074,"score_gpt":0.2944152586365595,"score_spread":0.2826395414884788,"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."}}