{"id":"W6917955394","doi":"10.58079/rlln","title":"6ème promotion MoMArch (2018-2020)","year":2018,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Government (linguistics); Face (sociological concept); Agency (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005530699,0.0006578643,0.000550603,0.002137531,0.00227774,0.006741282,0.001352622,0.003802841,0.247656],"category_scores_gemma":[0.006133529,0.0003954276,0.0009501898,0.001078681,0.0005058658,0.003500889,0.005961861,0.003469662,0.155145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997911,"about_ca_system_score_gemma":0.008321628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00743953,"about_ca_topic_score_gemma":0.01129877,"domain_scores_codex":[0.9968402,0.0002534426,0.0001344978,0.0001625253,0.001481168,0.001128191],"domain_scores_gemma":[0.9950194,0.0002181445,0.0002258184,0.0001842291,0.001459238,0.002893143],"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":[0.0001716343,0.00008753189,0.001029595,0.0003613014,0.000006721023,0.0001073426,0.0001707334,0.00006912928,0.0004103764,0.007011225,0.9114465,0.07912799],"study_design_scores_gemma":[0.00001409606,0.00004066959,0.002532542,0.0001432915,0.000001961349,0.00003890094,0.000131171,0.00003743837,0.0001145422,0.0004649001,0.9964724,0.000008224455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01516774,0.0172344,0.00395134,0.06928676,0.09840131,0.001389768,0.03709874,0.003144477,0.7543254],"genre_scores_gemma":[0.028986,0.005557249,0.002592352,0.008251126,0.007883828,0.001104484,0.01528227,0.0007492583,0.9295935],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.247656,"threshold_uncertainty_score":0.8284919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10613891572581,"score_gpt":0.4236237574879504,"score_spread":0.3174848417621404,"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."}}