{"id":"W2992478528","doi":"10.4000/formationemploi.7739","title":"Edito : la bonne distance…","year":2019,"lang":"fr","type":"article","venue":"Formation emploi","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Historical Studies in Education","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001260684,0.001119153,0.0007940347,0.002218798,0.002384019,0.006030903,0.001396217,0.002113757,0.4311055],"category_scores_gemma":[0.01031093,0.0003237595,0.0005301724,0.001181938,0.001446317,0.003226647,0.002807413,0.002560017,0.1910605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763152,"about_ca_system_score_gemma":0.001986935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005522714,"about_ca_topic_score_gemma":0.01136776,"domain_scores_codex":[0.9984458,0.0002675707,0.00009327933,0.0002233489,0.0008286962,0.0001413712],"domain_scores_gemma":[0.9956422,0.001088011,0.0002251896,0.0004743645,0.001799778,0.0007704662],"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":[0.00001951296,0.000006768626,0.00006912287,0.0001315564,0.000002069321,0.00005174142,0.0001421634,0.00002493592,0.0001457338,0.001801965,0.9838425,0.01376193],"study_design_scores_gemma":[0.000003097502,0.000005310364,0.0002237653,0.00004538803,8.562536e-7,0.00004363284,0.00008027818,0.00001679046,0.00004776043,0.000261222,0.9992689,0.000003041586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001427092,0.005362941,0.002050526,0.06186457,0.382437,0.0002640703,0.007087976,0.003213656,0.5362922],"genre_scores_gemma":[0.008204295,0.002355556,0.0007567982,0.007835717,0.03843524,0.0001561604,0.001761624,0.001916978,0.9385775],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4311055,"threshold_uncertainty_score":0.8114589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119896374838551,"score_gpt":0.4235914160238359,"score_spread":0.3036950411852849,"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."}}