{"id":"W4284672110","doi":"10.4000/formationemploi.10770","title":"Transitions scolaires et accès à l’université au Québec","year":2022,"lang":"fr","type":"article","venue":"Formation emploi","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Social impact; Sociology; Political science; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001737498,0.000163223,0.0002714197,0.001404049,0.004704412,0.003433369,0.0010944,0.0006070018,0.01802846],"category_scores_gemma":[0.007800986,0.0001373474,0.0002679683,0.00180151,0.00157231,0.001307977,0.002932253,0.001585775,0.0008217076],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02751695,"about_ca_system_score_gemma":0.03084643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9277987,"about_ca_topic_score_gemma":0.9597482,"domain_scores_codex":[0.99796,0.0004527167,0.00006107712,0.000156087,0.0003855545,0.0009846448],"domain_scores_gemma":[0.9897182,0.00103268,0.0008946334,0.0002509704,0.00226642,0.005836982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006629259,0.001062321,0.6819742,0.0002323366,0.0001017743,0.0009205167,0.09553118,0.001745949,0.001482383,0.02731019,0.01729647,0.1716798],"study_design_scores_gemma":[0.00001907487,0.00009587336,0.9242784,0.0001764086,0.00001507195,0.00004552988,0.04775483,0.000503984,0.0001934187,0.0004088619,0.026481,0.00002749638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597903,0.0004160774,0.0002599052,0.003002954,0.00004502781,0.00005324906,0.0004526546,0.0000308878,0.03594875],"genre_scores_gemma":[0.986403,0.0001677382,0.00009988319,0.0001530462,0.000008384654,0.00001871506,0.0001563165,0.000008253812,0.0129847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.972483,"threshold_uncertainty_score":0.1996504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1611656709181798,"score_gpt":0.4013507959550576,"score_spread":0.2401851250368777,"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."}}