{"id":"W15618228","doi":"10.1074/jbc.m413071200","title":"Simuler pour mieux éclairer","year":2004,"lang":"en","type":"article","venue":"Continuité","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008484821,0.0001350172,0.0002850957,0.00003447144,0.0004828211,0.000004502531,0.0001599177,0.0004658831,0.001337903],"category_scores_gemma":[0.0005625536,0.0001091457,0.00009135193,0.0001478607,0.0000517115,0.00007473634,0.00005609094,0.001217698,0.003277101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718763,"about_ca_system_score_gemma":0.0009276952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003094712,"about_ca_topic_score_gemma":0.0003483679,"domain_scores_codex":[0.9982527,0.0002222642,0.0004311619,0.000241935,0.0002141644,0.0006377632],"domain_scores_gemma":[0.998681,0.0004262117,0.0001126662,0.0003497041,0.0001680496,0.0002623464],"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":[0.00009199763,0.0004098442,0.1147972,0.0009628009,0.0001233726,0.0001539826,0.2067745,0.00003250292,0.002485446,0.03320296,0.5485073,0.09245814],"study_design_scores_gemma":[0.004179568,0.00007679863,0.06795681,0.0004003466,0.00002648223,0.000002249432,0.01339765,0.00002601582,0.00007972328,0.003398929,0.9102234,0.0002319699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8618801,0.0002937586,0.0007389123,0.01331203,0.0008828941,0.0006380011,0.000007906979,0.0002178264,0.1220286],"genre_scores_gemma":[0.9188586,0.00006478913,0.0007187063,0.03070507,0.001338319,0.00005614758,0.000008454584,0.00003205331,0.04821781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3617162,"threshold_uncertainty_score":0.999575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04636059202413916,"score_gpt":0.3991570237002178,"score_spread":0.3527964316760787,"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."}}