{"id":"W7008490582","doi":"","title":"Choisir sa carrière au Québec /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Term (time); Selection (genetic algorithm); Identification (biology)","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":[0.001413173,0.0007789718,0.0004814349,0.002325225,0.006776311,0.005029612,0.001295477,0.002500442,0.1716306],"category_scores_gemma":[0.003142252,0.0004172026,0.0008064635,0.002257134,0.001137275,0.001047944,0.001594872,0.002170337,0.01742384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03650135,"about_ca_system_score_gemma":0.08684439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867827,"about_ca_topic_score_gemma":0.9915577,"domain_scores_codex":[0.9986883,0.00008987168,0.00003188689,0.0001407097,0.0005775734,0.000471672],"domain_scores_gemma":[0.9971027,0.000135729,0.00006850019,0.0001570539,0.001874097,0.0006619768],"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":[0.000124079,0.00009599999,0.005888469,0.0002010239,0.00002906141,0.000344385,0.0006764777,0.0002409183,0.0007263997,0.02986575,0.8902689,0.0715386],"study_design_scores_gemma":[0.00002322645,0.0000106068,0.009603617,0.0001297186,0.00001081947,0.00006391336,0.0004654303,0.0001389589,0.000400689,0.0004030732,0.988735,0.00001487819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01245842,0.007743611,0.001268803,0.01689425,0.001792348,0.0003792885,0.0182728,0.0009008445,0.9402897],"genre_scores_gemma":[0.03055448,0.001294113,0.0009089867,0.001646505,0.0000852993,0.00006677906,0.002352081,0.0002250816,0.9628667],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1716306,"threshold_uncertainty_score":0.5741615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276360951643824,"score_gpt":0.2340429064588212,"score_spread":0.221279296942383,"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."}}