{"id":"W6945311443","doi":"10.25318/9810039601-fra","title":"Lieu des études comparé au lieu de résidence, selon le plus haut niveau de scolarité : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement","year":2023,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; China","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":[0.001867803,0.001973495,0.001964505,0.007901211,0.001585376,0.003660897,0.003189323,0.001752279,0.03738429],"category_scores_gemma":[0.01835722,0.0008810204,0.001674188,0.02065655,0.0006515076,0.001360962,0.001972016,0.002847811,0.02205079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01170417,"about_ca_system_score_gemma":0.02628825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9056619,"about_ca_topic_score_gemma":0.9367779,"domain_scores_codex":[0.9974775,0.0002430818,0.0003056233,0.0005174585,0.0009109393,0.000545391],"domain_scores_gemma":[0.9881324,0.002452758,0.001059464,0.0009721862,0.006486182,0.000896944],"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":[0.00006505287,0.00001373007,0.00533244,0.0006634048,0.00007611937,0.00001888174,0.00005995409,0.0002954181,0.00003972107,0.0006614,0.9909055,0.001868363],"study_design_scores_gemma":[0.0003532586,0.00001658239,0.06909177,0.001034221,0.0001404153,0.00006898204,0.0004747249,0.0006995028,0.0002873981,0.0009170489,0.926845,0.00007105349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001612172,0.00008390867,0.00002684925,0.00005618083,0.00001435748,0.000005715636,0.9991962,0.00005008118,0.0004054404],"genre_scores_gemma":[0.001111806,0.0001375776,0.0002018381,0.00004179781,0.00001056938,0.00006550732,0.9966714,0.00004706002,0.001712485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09433812,"threshold_uncertainty_score":0.1897873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833404738143032,"score_gpt":0.2998843804224205,"score_spread":0.2815503330409902,"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."}}