{"id":"W4412899481","doi":"10.1016/j.phacli.2025.07.006","title":"Extraction de données d’articles scientifiques pharmaceutiques par intelligence artificielle : évaluation de la conformité des réponses de ChatGPT 4.0 avec l’extraction humaine","year":2025,"lang":"fr","type":"article","venue":"Le Pharmacien Clinicien","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Cegep Edouard Montpetit; Centre Intégré de Santé et de Services Sociaux des Laurentides; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Humanities; 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","sts"],"consensus_categories":[],"category_scores_codex":[0.01375847,0.00042328,0.000467238,0.0005745473,0.001405872,0.0004243143,0.0003957484,0.0004893895,0.0007314802],"category_scores_gemma":[0.00394708,0.0004696129,0.0002753056,0.001333535,0.001902724,0.001073219,0.0000966778,0.001143898,0.0002019341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411181,"about_ca_system_score_gemma":0.004382881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004144928,"about_ca_topic_score_gemma":0.0002296475,"domain_scores_codex":[0.9937914,0.001870148,0.001559208,0.0007979361,0.000513037,0.001468243],"domain_scores_gemma":[0.9937006,0.003978023,0.0004941234,0.0004707772,0.0007916518,0.0005648118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006396798,0.00171757,0.02687103,0.0009031408,0.0001155203,0.00004147202,0.02937083,0.005081834,0.1368306,0.003491746,0.002353952,0.7925827],"study_design_scores_gemma":[0.0001839215,0.0001800189,0.007020555,0.0009224893,0.0003588908,0.0002027516,0.009240787,0.2214871,0.7092221,0.01705756,0.0338145,0.0003093269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787594,0.01033596,0.09109864,0.008886343,0.003777162,0.0009629047,0.00002285117,0.0002634324,0.005893306],"genre_scores_gemma":[0.9678297,0.01535986,0.004269573,0.002686415,0.001295713,0.0001915753,0.00003691998,0.00004753848,0.008282705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7922733,"threshold_uncertainty_score":0.9998941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.286513721751754,"score_gpt":0.545887884207011,"score_spread":0.2593741624552569,"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."}}