{"id":"W2951591356","doi":"","title":"Vous avez dit «outperform» ! En êtes-vous sûr ?","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Humanities; Philosophy; Physics","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","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01115472,0.0009196969,0.0009569129,0.0003238041,0.002044023,0.003589918,0.008080436,0.0007481232,0.0002784817],"category_scores_gemma":[0.003598847,0.00101523,0.0007887089,0.0003782882,0.0007144061,0.0009110036,0.006804285,0.002112365,0.001083617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004542337,"about_ca_system_score_gemma":0.00097818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01117418,"about_ca_topic_score_gemma":0.003063248,"domain_scores_codex":[0.985913,0.008522616,0.001108502,0.002140648,0.001165088,0.001150168],"domain_scores_gemma":[0.9833589,0.002810742,0.001339974,0.008409746,0.003468641,0.0006119793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003779654,0.001529863,0.004870995,0.0003772541,0.0003827808,0.0001692348,0.02644051,0.0004427385,0.00319288,0.4250065,0.007687507,0.5298619],"study_design_scores_gemma":[0.00253799,0.000005822825,0.02638383,0.01056529,0.0003623051,0.0004800047,0.0002774048,0.5594,0.01640411,0.02016734,0.3598853,0.003530563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1474449,0.008810084,0.5355346,0.0780159,0.005570977,0.001341879,0.0002271272,0.001108367,0.2219462],"genre_scores_gemma":[0.8103333,0.002428175,0.02372125,0.0003400038,0.0002264042,0.00009947067,0.0002947921,0.00009522471,0.1624614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6628884,"threshold_uncertainty_score":0.9996942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328624365839184,"score_gpt":0.2331209866450692,"score_spread":0.2098347429866774,"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."}}