{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006601842,0.0008469899,0.0007402921,0.0001795574,0.0006264927,0.0002373081,0.0009920741,0.001193638,0.0001170634],"category_scores_gemma":[0.0001881123,0.0009412609,0.0003691819,0.0002985278,0.0009580237,0.00003352738,0.0003579216,0.0004366408,0.00001306943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004187382,"about_ca_system_score_gemma":0.001233069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1848825,"about_ca_topic_score_gemma":0.5260504,"domain_scores_codex":[0.9957112,0.0009019644,0.0007267138,0.001145083,0.0004157272,0.001099302],"domain_scores_gemma":[0.9971458,0.0002031396,0.0003921718,0.00127271,0.0003328631,0.000653372],"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":[0.0001553262,0.001542819,0.001222459,0.000402406,0.0005441717,0.00006471152,0.0003357094,0.000003068272,0.03240619,0.0002082835,0.9590709,0.004043905],"study_design_scores_gemma":[0.001346777,0.0003077286,0.001645632,0.000419615,0.000408159,0.000243177,0.001086365,0.00001307909,0.1051302,0.0004566984,0.8880366,0.0009059387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01448354,0.03116981,0.0001937652,0.001234173,0.0001597964,0.001115761,0.9496769,0.00004142285,0.001924803],"genre_scores_gemma":[0.04468575,0.03149559,0.0007244319,0.0004846352,0.000942122,0.001248349,0.9189973,0.0001412803,0.001280468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3411679,"threshold_uncertainty_score":0.9993038,"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."}}