{"id":"W6932077565","doi":"10.5683/sp3/kan2jd","title":"Enquête sur la santé dans les collectivités canadiennes, 2015: Nutrition, Santé générale, sommaire des rappels alimentaires de 24 heures et suppléments nutritifs (NCI)","year":2015,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Biopolymer Synthesis and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Food consumption; Food supply; Statistical analysis; Democratic legitimacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007665121,0.0005293906,0.0006143437,0.003012329,0.00218794,0.001880792,0.00114552,0.0008880236,0.01219528],"category_scores_gemma":[0.01183788,0.0004483055,0.001174417,0.00742613,0.0005553291,0.001129291,0.003148228,0.001674935,0.001891166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01249005,"about_ca_system_score_gemma":0.04863183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7426715,"about_ca_topic_score_gemma":0.8209357,"domain_scores_codex":[0.9970312,0.0006656233,0.0003959689,0.0003074497,0.001167721,0.0004319263],"domain_scores_gemma":[0.989447,0.001342861,0.0009956619,0.000310703,0.005751971,0.002151751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005973147,0.0002725532,0.4616145,0.005217442,0.0005828698,0.0002588791,0.01397949,0.00083409,0.001811114,0.003146333,0.2617097,0.2499758],"study_design_scores_gemma":[0.00002889794,0.0001774951,0.7944448,0.001333995,0.0001539237,0.00005892999,0.0064331,0.0001490527,0.0004722115,0.0002313154,0.1964509,0.00006528183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.3760647,0.06443006,0.005324072,0.08629543,0.005079637,0.003163914,0.2975019,0.00139363,0.1607467],"genre_scores_gemma":[0.5866451,0.05751341,0.03046289,0.01576335,0.0009853495,0.004348687,0.1655005,0.0002795805,0.1385011],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2573285,"threshold_uncertainty_score":0.5176879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148731982810207,"score_gpt":0.2916593563013658,"score_spread":0.2767861580203451,"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."}}