{"id":"W6926588428","doi":"10.25318/9810052401-fra","title":"Langues utilisées au travail selon les langues utilisées à la maison et statut d’immigrant et période d’immigration : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Derogation; Context (archaeology); National identity","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":[0.0009107157,0.001902176,0.001285568,0.006009022,0.001692038,0.002871246,0.00218337,0.001465062,0.02026057],"category_scores_gemma":[0.006988484,0.0005942619,0.001524124,0.0151311,0.0005835445,0.0009443194,0.001401327,0.002019519,0.01739977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01215978,"about_ca_system_score_gemma":0.0276207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9379119,"about_ca_topic_score_gemma":0.9654441,"domain_scores_codex":[0.9986155,0.0001154987,0.0001525135,0.000282762,0.0004711426,0.0003626034],"domain_scores_gemma":[0.9957523,0.000653663,0.0003428753,0.0003899176,0.00240001,0.0004610771],"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":[0.00008353333,0.00002281822,0.007130336,0.0005547488,0.00006482773,0.00003261017,0.00008618341,0.0005285151,0.00007986336,0.0006551891,0.9873443,0.003417195],"study_design_scores_gemma":[0.0001950443,0.00001123196,0.05419584,0.0004980144,0.0000656269,0.00006545963,0.0003945832,0.0007791433,0.0002639609,0.0005876519,0.9428841,0.00005920957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002917729,0.0001095503,0.00002164887,0.00006808367,0.00001203046,0.00000578437,0.9988194,0.00007740774,0.0005942169],"genre_scores_gemma":[0.001034081,0.0001356041,0.0001643851,0.00003826823,0.000005754136,0.00003315211,0.9972194,0.00002488782,0.001344395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06208813,"threshold_uncertainty_score":0.1249075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132310991242689,"score_gpt":0.2728578438471442,"score_spread":0.2615347339347173,"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."}}