{"id":"W7128481249","doi":"10.3917/es.032.0173a","title":"Georges Felouzis et Samuel Charmillot , Le savant, les “données” et le politique : réponse à Roser Cussó , Université de Genève, Groupe genevois d’Analyse des Politiques Éducatives (GGAPE)","year":2014,"lang":"fr","type":"article","venue":"Education et sociétés","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Nantes; Université de Genève","keywords":"Context (archaeology); Identity (music); Natural (archaeology); Relation (database)","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":[0.007303141,0.001012963,0.0007726037,0.002700682,0.008805788,0.006419368,0.001517617,0.004720544,0.008933331],"category_scores_gemma":[0.01407479,0.0006402529,0.000503451,0.003348598,0.008798603,0.008696125,0.00306877,0.005254737,0.00148821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008522666,"about_ca_system_score_gemma":0.009436344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.169581,"about_ca_topic_score_gemma":0.2415132,"domain_scores_codex":[0.9952679,0.002972796,0.0001331945,0.0004412659,0.0008440941,0.0003407194],"domain_scores_gemma":[0.9890952,0.007668615,0.0006198341,0.0002757687,0.00177778,0.0005627162],"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":[0.0001483848,0.0001106942,0.009194074,0.001002286,0.00008149057,0.0006494282,0.105231,0.0002526064,0.0003944166,0.2984267,0.4524544,0.1320546],"study_design_scores_gemma":[0.0000235865,0.00003256424,0.01029716,0.00163561,0.0000332512,0.0002847286,0.04599814,0.0001909939,0.0004686517,0.04853934,0.8924268,0.00006921162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01556863,0.3250947,0.003306443,0.6135272,0.004510165,0.00004498542,0.0002589429,0.00006164996,0.03762721],"genre_scores_gemma":[0.3732476,0.3878149,0.007433287,0.1009356,0.004813683,0.0002661198,0.0004525084,0.0003459838,0.1246902],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.169581,"threshold_uncertainty_score":0.3371879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2793285290159312,"score_gpt":0.4981485297105555,"score_spread":0.2188200006946243,"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."}}