{"id":"W4387185554","doi":"10.3917/rdna.hs12.0017","title":"Connaître, anticiper, informer","year":2023,"lang":"fr","type":"article","venue":"Revue Défense Nationale","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Medicine","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":[0.002742039,0.0001502455,0.0001973774,0.0002092428,0.0006964321,0.00004892965,0.0002240184,0.000267867,0.001386443],"category_scores_gemma":[0.002539264,0.0001854678,0.0001325297,0.0014076,0.0008529409,0.0003835484,0.00003189414,0.0002276153,0.003890921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659966,"about_ca_system_score_gemma":0.0005983443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001776836,"about_ca_topic_score_gemma":0.00007532072,"domain_scores_codex":[0.9981363,0.0003579233,0.0003720009,0.0002809064,0.0003911768,0.0004617009],"domain_scores_gemma":[0.9962499,0.002801894,0.0001669766,0.0001507863,0.00048777,0.0001426731],"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":[0.000001771628,0.0000779359,0.004287721,0.00007732567,0.00005926514,0.000002839109,0.03765938,0.0001250724,0.00002133712,0.8870814,0.06405234,0.006553594],"study_design_scores_gemma":[0.0002385558,0.00002154141,0.0182066,0.0001053366,0.00003179621,0.000007662932,0.02700589,0.0005568702,0.000009008259,0.01650996,0.937076,0.0002308019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.358071,0.006636231,0.0001591424,0.2562146,0.02246973,0.0006293875,0.0002634215,0.0003872791,0.3551692],"genre_scores_gemma":[0.4898594,0.008446584,0.001353726,0.001789765,0.01156111,0.0000893838,0.0006036607,0.00003537923,0.486261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8730236,"threshold_uncertainty_score":0.9995264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.361115773295925,"score_gpt":0.4841330107892218,"score_spread":0.1230172374932968,"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."}}