{"id":"W6945678333","doi":"10.25318/3710029201-fra","title":"Nouveaux inscrits canadiens aux études postsecondaires selon le groupe de minorités visibles, le titre scolaire, le domaine d'études (regroupements STIM et SACHES (non-STIM)), le genre et l'âge","year":2025,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Sanctions; Context (archaeology); State (computer science)","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":[0.001252748,0.001321881,0.001470082,0.005117049,0.001393553,0.002246312,0.002899043,0.00131658,0.03189256],"category_scores_gemma":[0.01157831,0.0006528352,0.001148915,0.01561415,0.0005228046,0.001030032,0.001437425,0.0022097,0.02200789],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008087665,"about_ca_system_score_gemma":0.02039028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.836702,"about_ca_topic_score_gemma":0.8940632,"domain_scores_codex":[0.9981035,0.0001665395,0.0002046626,0.0004204725,0.0006432297,0.0004616164],"domain_scores_gemma":[0.9932485,0.001175676,0.0007419241,0.0006654545,0.003500229,0.0006681823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005429497,0.00001685627,0.009113204,0.0003630084,0.00004114307,0.00001677915,0.00007119864,0.000206265,0.00003749575,0.0005533378,0.9868912,0.002635136],"study_design_scores_gemma":[0.0002392016,0.00001368092,0.08792932,0.0005455072,0.00008461331,0.00007497231,0.0005536173,0.0005808381,0.0002537386,0.0008657873,0.9088019,0.00005688535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003304509,0.00006466556,0.00003043692,0.00006251931,0.00001419414,0.000007714572,0.9987758,0.00005330355,0.0006607982],"genre_scores_gemma":[0.001525996,0.0001207552,0.0002071341,0.00006186422,0.00001003464,0.00006746113,0.9958632,0.00002967006,0.002113872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9919124,"threshold_uncertainty_score":0.3285192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181934553118356,"score_gpt":0.2659776506239283,"score_spread":0.2541583050927447,"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."}}