{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007435579,0.000640403,0.0006969618,0.00009612818,0.0008297473,0.0003203621,0.0008574097,0.000772141,0.0006387321],"category_scores_gemma":[0.0003128272,0.0003354371,0.0003662801,0.0004820939,0.00029976,0.0003951177,0.0003191179,0.0007871891,0.00113052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866286,"about_ca_system_score_gemma":0.0001248531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9622414,"about_ca_topic_score_gemma":0.9449071,"domain_scores_codex":[0.9967311,0.0004492814,0.000556919,0.0008709712,0.0002867231,0.001105004],"domain_scores_gemma":[0.9977582,0.0009768611,0.0003802418,0.0002965772,0.0001446467,0.0004434812],"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":[0.00005164876,0.0002870659,0.0003974076,0.0000992364,0.0001269076,0.0001382376,0.00007465779,0.00000979793,0.00544179,0.0005035456,0.9831871,0.009682572],"study_design_scores_gemma":[0.0002198131,0.0002935543,0.02829224,0.0004359868,0.0001001088,0.00008460844,0.0004538127,0.00003363094,0.0005888734,0.00006462834,0.9687556,0.0006771334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0803125,0.001319379,0.000001044514,0.006591144,0.00107593,0.0004649289,0.9098506,0.0001316773,0.0002527921],"genre_scores_gemma":[0.002075273,0.00734852,0.00001825424,0.0004209352,0.001076237,0.00007933104,0.9801272,0.00001068207,0.008843548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07823723,"threshold_uncertainty_score":0.9999098,"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."}}