{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017614,0.0001129537,0.0001381171,0.00005208256,0.0003589919,0.00006774285,0.0001815766,0.0002059975,0.001463749],"category_scores_gemma":[0.0002662484,0.0001246147,0.00007751519,0.0003026299,0.0005020992,0.001157968,0.00001693659,0.0001851237,0.002515035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001484206,"about_ca_system_score_gemma":0.0001867106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001491321,"about_ca_topic_score_gemma":0.00007585735,"domain_scores_codex":[0.9985032,0.0004530111,0.0002921578,0.0001576717,0.0002939882,0.0002999597],"domain_scores_gemma":[0.9986342,0.0007763474,0.0001802771,0.0001477256,0.0001679224,0.00009352065],"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":[0.000002758424,0.00006758738,0.006477765,0.00008675369,0.00001927223,1.579442e-7,0.08953224,0.00003896287,0.00001033461,0.8489769,0.04629716,0.008490087],"study_design_scores_gemma":[0.0001992331,0.00003272934,0.00927841,0.00007064809,0.00001377915,0.000002249579,0.06270372,0.0001605782,0.000007653064,0.01441571,0.9129601,0.0001552375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3489384,0.002222908,0.006691058,0.0712917,0.04385906,0.0006217307,0.00007706558,0.00018269,0.5261154],"genre_scores_gemma":[0.9465759,0.0006080762,0.001280953,0.0005762235,0.007586404,0.00002899044,0.0001223674,0.00001330773,0.04320774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8666629,"threshold_uncertainty_score":0.9994491,"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."}}