{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02366553,0.0007545038,0.0007584795,0.002930741,0.003672287,0.0151525,0.001491742,0.004810825,0.02615939],"category_scores_gemma":[0.1081358,0.0004848736,0.0006081188,0.001883958,0.003653333,0.01627265,0.003835481,0.00551942,0.0205653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004000994,"about_ca_system_score_gemma":0.01843524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001972,"about_ca_topic_score_gemma":0.0161322,"domain_scores_codex":[0.9781299,0.010087,0.001572978,0.001974105,0.00700935,0.001226731],"domain_scores_gemma":[0.9127048,0.03645183,0.007367015,0.006878188,0.03070576,0.005892317],"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":[0.00009170557,0.0001224254,0.01256156,0.001028177,0.00007289308,0.0008473755,0.02676455,0.0003965812,0.00425388,0.0589984,0.6699778,0.2248847],"study_design_scores_gemma":[0.000005925578,0.00003471521,0.002526514,0.0005382888,0.00003346,0.0002845071,0.01411017,0.0003217511,0.0009230817,0.011541,0.9696278,0.00005272618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0157744,0.01673297,0.06362554,0.6741728,0.02247541,0.0005883807,0.001636559,0.001940408,0.2030537],"genre_scores_gemma":[0.3003379,0.04032548,0.109291,0.1262701,0.02629155,0.0009614519,0.004112567,0.002635764,0.3897741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02615939,"threshold_uncertainty_score":0.1251568,"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."}}