{"id":"W4297229922","doi":"10.3406/diver.2014.8367","title":"Équipe METISS. Un modèle de recherche et de formation en partenariat","year":2014,"lang":"fr","type":"article","venue":"Diversité","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Sociology; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.004504472,0.0001036386,0.0001341103,0.00001900702,0.0005133983,0.00009650649,0.0004202237,0.0003277951,0.0004888187],"category_scores_gemma":[0.0007289554,0.000109511,0.00009973961,0.0004493543,0.0002171948,0.0007252745,0.0000979921,0.0002606127,0.0002346816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008526146,"about_ca_system_score_gemma":0.000244895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02858824,"about_ca_topic_score_gemma":0.003971362,"domain_scores_codex":[0.9970217,0.001815043,0.0001185886,0.0001861869,0.0003596926,0.0004987994],"domain_scores_gemma":[0.9989798,0.0005297074,0.0001335509,0.0001072187,0.00005691836,0.0001927887],"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":[0.00001761679,0.00009736549,0.01262168,0.00003102966,0.00003403335,0.000007534266,0.2317629,0.0004224514,0.0002322755,0.5918291,0.04650141,0.1164426],"study_design_scores_gemma":[0.000465168,0.0001104507,0.03724373,0.00006639266,0.00009793616,0.000003157131,0.02394045,0.008492242,0.0005437215,0.1121275,0.8165671,0.0003421459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4743298,0.003228332,0.05742587,0.178329,0.002474427,0.0003685112,0.00006637261,0.0001481856,0.2836295],"genre_scores_gemma":[0.9711683,0.002380958,0.006486552,0.00270973,0.0005913887,0.000004901558,0.000004059067,0.000007764943,0.01664634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7700657,"threshold_uncertainty_score":0.9778805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.217712390196224,"score_gpt":0.3550530337106848,"score_spread":0.1373406435144608,"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."}}