{"id":"W2260113663","doi":"10.3917/i2d.153.0053","title":"Points-clés pour une mutualisation réussie","year":2015,"lang":"fr","type":"article","venue":"I2D - Information données & documents","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001554853,0.0002651023,0.0002743617,0.0001008367,0.0006404453,0.0007321275,0.0006584206,0.0002730538,0.001090096],"category_scores_gemma":[0.0005626991,0.0002672356,0.0001344428,0.001375995,0.0005417107,0.01157822,0.0001326537,0.0002127377,0.006702671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009106694,"about_ca_system_score_gemma":0.0008315003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05821396,"about_ca_topic_score_gemma":0.005750081,"domain_scores_codex":[0.9963107,0.00023357,0.000755663,0.0002305619,0.001753666,0.0007158431],"domain_scores_gemma":[0.9979571,0.00009347434,0.0007808917,0.0002525465,0.0004279142,0.000488126],"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":[0.00004577873,0.0001280394,0.009928775,0.00005170244,0.00005632694,0.000003685768,0.1391336,0.00031745,0.000003736739,0.3071288,0.4116724,0.1315297],"study_design_scores_gemma":[0.0009550973,0.00008679941,0.00581034,0.00009738193,0.00003390768,0.000002194934,0.04136404,0.0006600909,0.00004504833,0.03745959,0.9131274,0.0003580975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2977228,0.001889091,0.002680956,0.2306503,0.01551586,0.00111721,0.0001593786,0.000270959,0.4499935],"genre_scores_gemma":[0.9531927,0.001084254,0.001221918,0.005391306,0.001592478,0.00005089655,0.00009686248,0.0000184652,0.03735114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6554699,"threshold_uncertainty_score":0.999978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06913350549298816,"score_gpt":0.33464833592174,"score_spread":0.2655148304287519,"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."}}