{"id":"W6931547825","doi":"10.5683/sp3/umw4nc","title":"Enquête canadienne sur le tabac, l'alcool et les drogues chez les élèves, 2018-2019.","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Illicit drug; Economic shortage","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":[0.00821386,0.0007274675,0.0009250609,0.004212931,0.002720967,0.002799858,0.001201644,0.001135215,0.01158848],"category_scores_gemma":[0.01125731,0.0004380521,0.001213542,0.005737785,0.000919895,0.001182314,0.002475172,0.00230445,0.001752031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02210071,"about_ca_system_score_gemma":0.05375155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9020694,"about_ca_topic_score_gemma":0.9414152,"domain_scores_codex":[0.9953226,0.0006719051,0.0005001039,0.0004563083,0.002213924,0.0008351753],"domain_scores_gemma":[0.980232,0.001979729,0.001423445,0.0004276282,0.01420121,0.001735877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001331618,0.0001649478,0.3370702,0.0158324,0.001173445,0.001206777,0.0197179,0.001026203,0.004827592,0.007532182,0.3361252,0.2739916],"study_design_scores_gemma":[0.0000372698,0.0001843569,0.4289058,0.005773162,0.0003666535,0.0002740437,0.008855048,0.0002290237,0.001073529,0.0004721854,0.5536961,0.0001328058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2030932,0.2223791,0.009487327,0.0861286,0.007940574,0.003446722,0.3116616,0.0009111317,0.1549518],"genre_scores_gemma":[0.47161,0.143784,0.02161322,0.03158142,0.001836534,0.00388516,0.1876816,0.0003737748,0.1376343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09793055,"threshold_uncertainty_score":0.1970145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596150047921315,"score_gpt":0.2262970692999813,"score_spread":0.2003355688207681,"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."}}