{"id":"W4417514360","doi":"10.62212/snahp.238","title":"L’intelligence artificielle et l’édition scientifique : entre promesse et responsabilité","year":2025,"lang":"fr","type":"article","venue":"Science of Nursing and Health Practices","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Field (mathematics); Context (archaeology); Identification (biology); Subject (documents)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007788573,0.000203456,0.0002933159,0.0003962783,0.001073312,0.002546437,0.0005668564,0.00008590265,0.0000246186],"category_scores_gemma":[0.002167829,0.0001685958,0.00005238059,0.002637254,0.00277573,0.009353911,0.0001972928,0.0003521644,0.0000123106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427502,"about_ca_system_score_gemma":0.004202851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134439,"about_ca_topic_score_gemma":0.0001501768,"domain_scores_codex":[0.9967408,0.0004726529,0.0005925279,0.0008616387,0.00064194,0.0006904149],"domain_scores_gemma":[0.9967901,0.0006902601,0.000963126,0.0005085255,0.0006730699,0.0003749143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003416175,0.0007279264,0.00004474931,0.0003929352,0.000004989646,0.000004957818,0.01645262,0.0001794609,0.003051812,0.7713089,0.006700082,0.2010974],"study_design_scores_gemma":[0.0005933938,0.002091521,0.02362141,0.02574641,0.00008084314,0.0004920915,0.01929902,0.0959011,0.05707872,0.6134445,0.1605779,0.001073105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04625598,0.01552094,0.02381733,0.7732431,0.004167097,0.0008233567,0.00002121125,0.00008537854,0.1360656],"genre_scores_gemma":[0.9672733,0.001744701,0.007683149,0.003390366,0.00003982444,0.000007323819,0.000002973632,0.000006126622,0.01985223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9210173,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4518509875505602,"score_gpt":0.5073640771637985,"score_spread":0.05551308961323831,"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."}}