{"id":"W2223729470","doi":"10.1016/j.eurpsy.2015.09.064","title":"Connaissances cliniques : l’apport du numérique","year":2015,"lang":"fr","type":"article","venue":"European Psychiatry","topic":"Medical Research and Practices","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Library science; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.01668744,0.0003369098,0.000427664,0.0001121467,0.0005404361,0.00008960093,0.0007425629,0.0003143827,0.009811629],"category_scores_gemma":[0.008177007,0.0002968824,0.0001572273,0.0003240271,0.0006284987,0.0005804788,0.000360402,0.002934907,0.0264314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000798765,"about_ca_system_score_gemma":0.003191689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003057891,"about_ca_topic_score_gemma":0.0003392553,"domain_scores_codex":[0.9823907,0.01389505,0.001090386,0.0005934092,0.0008390289,0.001191449],"domain_scores_gemma":[0.9945315,0.001343877,0.0005545921,0.0007071643,0.0004294242,0.002433431],"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":[0.0002887444,0.0003638832,0.0555433,0.0004931334,0.00006821073,0.0002249071,0.01011747,6.328434e-7,0.000001224244,0.02316574,0.8891594,0.02057334],"study_design_scores_gemma":[0.001239752,0.0006370209,0.00437895,0.001732927,0.0000235242,0.00003225233,0.02506702,0.00005150019,0.000001922543,0.009153789,0.9573703,0.0003110517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009390643,0.08391301,0.001055043,0.1937082,0.02238579,0.0005145275,0.00005193474,0.0001874664,0.6887934],"genre_scores_gemma":[0.5957596,0.02021518,0.01321122,0.04435234,0.05088007,0.00005660776,0.0001487591,0.0003447274,0.2750314],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.586369,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2170775732348621,"score_gpt":0.481598335078627,"score_spread":0.2645207618437649,"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."}}