{"id":"W6894149368","doi":"10.5683/sp3/a9qljj","title":"Enquête sur la santé dans les collectivités canadiennes (ESCC) – Nutrition de 2015","year":2018,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Consumption (sociology); Context (archaeology); Food consumption","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":[0.001480526,0.001498527,0.0009088542,0.002663147,0.0008159011,0.001496683,0.001581298,0.00146381,0.01382251],"category_scores_gemma":[0.006024855,0.0003784843,0.001041097,0.00449377,0.0003506697,0.0009468361,0.001272796,0.001381315,0.01500838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003722872,"about_ca_system_score_gemma":0.004394969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3301671,"about_ca_topic_score_gemma":0.481594,"domain_scores_codex":[0.9989691,0.0001827304,0.00009727023,0.0002482163,0.0002941045,0.0002085702],"domain_scores_gemma":[0.9979565,0.000401739,0.0002124509,0.0002690538,0.0008466901,0.0003134788],"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":[0.00009871894,0.00001915269,0.004793106,0.0003477131,0.00003018488,0.00002567672,0.00006539201,0.0002726128,0.0001046004,0.0003894243,0.9897103,0.004143153],"study_design_scores_gemma":[0.0001181645,0.00002241729,0.03750613,0.000366899,0.00004397334,0.00007214912,0.0002615695,0.0007588966,0.0003590391,0.0005390446,0.9599169,0.00003475965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00079239,0.0002296369,0.0000763194,0.0002462676,0.00007017167,0.00001383147,0.996873,0.000224599,0.001473928],"genre_scores_gemma":[0.001740466,0.0001434657,0.0003520033,0.00009234875,0.00002034001,0.00005350049,0.9960421,0.00003127843,0.0015244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6698328,"threshold_uncertainty_score":0.6564907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618359478159923,"score_gpt":0.2816622934098709,"score_spread":0.2654786986282716,"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."}}