{"id":"W3133977402","doi":"10.3917/rdna.820.0030","title":"Pas une journée sans intelligence artificielle !","year":2019,"lang":"fr","type":"article","venue":"Revue Défense Nationale","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Humanities; Political science; Philosophy","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003360178,0.0002709988,0.0005232334,0.0001464345,0.0006976948,0.0000216449,0.0002895727,0.001203155,0.01245592],"category_scores_gemma":[0.00145374,0.0002835553,0.0002240369,0.0009789681,0.0001656237,0.0002298489,0.00008974014,0.003004316,0.01364053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005827944,"about_ca_system_score_gemma":0.001916265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000728788,"about_ca_topic_score_gemma":0.000673368,"domain_scores_codex":[0.9956525,0.001167262,0.001142678,0.0005316162,0.0006157835,0.0008901347],"domain_scores_gemma":[0.9942181,0.003671221,0.0004002513,0.0005674642,0.0006884965,0.0004545082],"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":[0.0000748445,0.0008850335,0.01298883,0.006005788,0.0001719282,0.00007920311,0.1235163,0.002169773,0.0003846987,0.4207211,0.3695943,0.06340824],"study_design_scores_gemma":[0.0004594948,0.0001522199,0.005621897,0.001643026,0.0000491936,0.00003486696,0.02189842,0.01305665,0.00005782364,0.004691429,0.952024,0.0003109788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.3921596,0.01659942,0.003663993,0.4144887,0.01442485,0.002540009,0.0002538784,0.0001459007,0.1557236],"genre_scores_gemma":[0.4646749,0.006324051,0.002160564,0.03099054,0.004003514,0.00006510302,0.0001579577,0.00008127631,0.4915421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5824297,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08199287910323853,"score_gpt":0.3875871617821427,"score_spread":0.3055942826789041,"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."}}