{"id":"W7119566105","doi":"","title":"Exploration des enjeux de mise en œuvre des intelligences artificielles génératives en santé - Une enquête menée auprès d'experts en France et au Canada","year":2025,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Relation (database); Interpretation (philosophy)","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"],"consensus_categories":[],"category_scores_codex":[0.004224035,0.0004230096,0.000377824,0.0002710207,0.0009512653,0.0007569386,0.001094862,0.0001829502,0.0005167062],"category_scores_gemma":[0.004384428,0.0004610395,0.0001508512,0.001419794,0.0007422591,0.001389972,0.0005685195,0.0003021973,0.00008730843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005345524,"about_ca_system_score_gemma":0.001277654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4022275,"about_ca_topic_score_gemma":0.8537667,"domain_scores_codex":[0.9946655,0.002991549,0.0006669973,0.0006872465,0.0003590066,0.0006296791],"domain_scores_gemma":[0.992367,0.003831745,0.0003443681,0.0008216765,0.002554375,0.00008088266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004152061,0.00083968,0.0497576,0.001209522,0.0001828532,0.00002216226,0.08616469,0.000446883,0.006263983,0.5121058,0.003880828,0.3390845],"study_design_scores_gemma":[0.0004119662,0.000002082538,0.0272288,0.01194837,0.0001675166,0.000006115058,0.03163346,0.0357318,0.1653178,0.05212668,0.6743602,0.001065252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3051453,0.03465808,0.4199803,0.05655946,0.001288535,0.0008458385,0.00004478404,0.0002282962,0.1812494],"genre_scores_gemma":[0.9468036,0.006283302,0.006802223,0.0004843074,0.0001727503,0.00009950308,0.0001034208,0.00003909628,0.03921181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6704794,"threshold_uncertainty_score":0.9997841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996554679540924,"score_gpt":0.2590595034290264,"score_spread":0.2390939566336172,"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."}}