{"id":"W7116091998","doi":"10.59876/a-n6jk-p1qc","title":"Mot des rédacteurs invités — 13e Conférence annuelle Atlas-AFMI","year":2025,"lang":"fr","type":"article","venue":"Management international","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Field (mathematics); Identification (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007778397,0.001275413,0.001115525,0.004165182,0.002954103,0.009418571,0.002859033,0.004968085,0.4140049],"category_scores_gemma":[0.01374341,0.0006470924,0.001341471,0.002645061,0.0009842714,0.003727119,0.007194684,0.004384526,0.2622701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00671987,"about_ca_system_score_gemma":0.01315909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056489,"about_ca_topic_score_gemma":0.01452382,"domain_scores_codex":[0.9908371,0.001244784,0.0004503458,0.0006254021,0.005137277,0.001705098],"domain_scores_gemma":[0.9796354,0.001331305,0.001010551,0.0006958416,0.01071566,0.006611289],"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":[0.00004866344,0.00001640784,0.0002733071,0.0001196562,0.000004337987,0.00003324561,0.00003789948,0.00005211289,0.0001286545,0.001938468,0.9727841,0.02456314],"study_design_scores_gemma":[0.000007833473,0.00001197841,0.0008271072,0.00007410167,0.000001622558,0.00005762783,0.00005192159,0.00003279157,0.0001328954,0.0003591538,0.9984357,0.000007386048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002202056,0.03091985,0.003593025,0.1566478,0.1926325,0.0008294378,0.02032983,0.003034303,0.5898113],"genre_scores_gemma":[0.01657354,0.009948247,0.004884405,0.016734,0.03309843,0.0009218525,0.01401391,0.001334396,0.9024912],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4140049,"threshold_uncertainty_score":0.835851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05412604137701697,"score_gpt":0.4091583659023105,"score_spread":0.3550323245252935,"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."}}