{"id":"W4386553684","doi":"10.3917/riges.483.0111","title":"Diagnostic – ChatGPT au travail, entre promesses et menaces","year":2023,"lang":"fr","type":"article","venue":"Gestion","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political 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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005392038,0.0002686017,0.0003842521,0.0002047063,0.000843407,0.00005976233,0.0001554792,0.0007643334,0.002159711],"category_scores_gemma":[0.009161867,0.0002541617,0.00007237065,0.0007637833,0.00008794144,0.0006771657,0.00009309981,0.001205961,0.01340297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003719738,"about_ca_system_score_gemma":0.001441716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198824,"about_ca_topic_score_gemma":0.009479926,"domain_scores_codex":[0.9912379,0.006119918,0.0007245225,0.0004620415,0.0004255638,0.001030093],"domain_scores_gemma":[0.987378,0.01123202,0.0004425894,0.0003606789,0.000206664,0.0003800303],"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":[0.00007357704,0.0002680316,0.06928615,0.0116225,0.0001112499,0.0002291745,0.1252818,0.0001536274,0.0001377621,0.0294053,0.4135915,0.3498394],"study_design_scores_gemma":[0.0003499609,0.0001910956,0.2469429,0.003357712,0.0000547172,0.0000153802,0.01238454,0.0002177004,0.00001311213,0.0004901105,0.7357659,0.0002169476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3518434,0.0122876,0.00008646701,0.6116406,0.01373081,0.002101772,0.0002062479,0.0004763868,0.007626745],"genre_scores_gemma":[0.8636266,0.01480081,0.0001142814,0.001024819,0.002214225,0.0004155429,0.0001965919,0.00006419259,0.117543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6106157,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006391068851432,"score_gpt":0.45471053745287,"score_spread":0.3540714305677268,"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."}}