{"id":"W2950616286","doi":"10.3917/agora.082.0089","title":"Un mot d’ordre : « fidéliser »","year":2019,"lang":"fr","type":"article","venue":"Agora débats/jeunesses","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.009745087,0.0008320486,0.0006844296,0.001882985,0.01090569,0.01206244,0.001942588,0.007313177,0.01810467],"category_scores_gemma":[0.01962593,0.0005033761,0.0006469545,0.001579607,0.03373703,0.01478064,0.0109871,0.01198126,0.003638432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008259048,"about_ca_system_score_gemma":0.01210197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02391998,"about_ca_topic_score_gemma":0.02715341,"domain_scores_codex":[0.9876873,0.006565553,0.0003675764,0.001662743,0.00232978,0.001387009],"domain_scores_gemma":[0.9912022,0.003116761,0.0009364089,0.001378067,0.001981,0.001385606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002513451,0.00001357281,0.0006625837,0.00009662198,0.00000553537,0.00006622934,0.01850987,0.00009034728,0.0002163803,0.937092,0.02578908,0.01743245],"study_design_scores_gemma":[0.000020072,0.00004919223,0.001497586,0.0005813685,0.00001135418,0.0002877736,0.01745127,0.0002862719,0.000662146,0.2144608,0.7646339,0.0000582276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02452631,0.01188289,0.04041206,0.4363067,0.008108665,0.0001468886,0.0002165051,0.0002900927,0.4781099],"genre_scores_gemma":[0.5988079,0.007124737,0.02167884,0.05884935,0.004080053,0.0003632658,0.0001958809,0.0005410079,0.3083589],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02391998,"threshold_uncertainty_score":0.06056619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290212076485934,"score_gpt":0.4152949919235591,"score_spread":0.2862737842749656,"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."}}