{"id":"W3197761202","doi":"","title":"Dérandomisation des Bornes PAC-Bayésiennes","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"African Studies and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Bay; Oceanography; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01335138,0.002188666,0.002767592,0.002176818,0.001654463,0.00465498,0.003383214,0.003423055,0.01837364],"category_scores_gemma":[0.09890065,0.001505141,0.002644672,0.001788754,0.003985339,0.006586039,0.004725426,0.007923272,0.004313045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003771002,"about_ca_system_score_gemma":0.003645382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008502069,"about_ca_topic_score_gemma":0.009074835,"domain_scores_codex":[0.9916863,0.004010608,0.0004493222,0.001698109,0.001559426,0.0005962005],"domain_scores_gemma":[0.9079458,0.08026666,0.001392522,0.005179178,0.004285688,0.0009301316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008661519,0.0001500025,0.006796705,0.0006922036,0.0004799105,0.0004382388,0.0005167077,0.5072117,0.002732038,0.3608852,0.01356765,0.1056635],"study_design_scores_gemma":[0.00005852175,0.00005545095,0.0009951241,0.0001132516,0.00004161791,0.0001524945,0.00007510782,0.8153787,0.001282951,0.1797546,0.002058126,0.00003399665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02766661,0.0009530847,0.962476,0.00200565,0.0003086868,0.0001133786,0.0007121717,0.001139363,0.004625048],"genre_scores_gemma":[0.4916268,0.002183287,0.4492203,0.001425263,0.001275706,0.001609155,0.006785969,0.002893351,0.04298031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01837364,"threshold_uncertainty_score":0.07060969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329446829245192,"score_gpt":0.2514521961045547,"score_spread":0.2281577278121028,"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."}}