{"id":"W4388652405","doi":"10.48550/arxiv.1702.06510","title":"Algorithmes de classification et d'optimisation: participation du\\n LIA/ADOC \\\\'a DEFT'14","year":2017,"lang":"fr","type":"preprint","venue":"arXiv (Cornell University)","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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"],"consensus_categories":[],"category_scores_codex":[0.0006640018,0.000395392,0.0003548866,0.0001513012,0.0007150249,0.0006008078,0.001373675,0.0003526295,0.00009303809],"category_scores_gemma":[0.0004334493,0.0004921654,0.0002115062,0.0002847075,0.0002736697,0.0009960487,0.0007925754,0.0005596062,0.0003503356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004531844,"about_ca_system_score_gemma":0.0006955375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004394201,"about_ca_topic_score_gemma":0.00006028152,"domain_scores_codex":[0.9971469,0.0004434135,0.0004052304,0.00125943,0.000225586,0.0005194612],"domain_scores_gemma":[0.996542,0.0005550052,0.0005737551,0.0009924577,0.0009936813,0.0003431283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002168673,0.0001094117,0.001936815,0.00003361793,0.00004543219,0.0000766307,0.0004279977,0.4331765,0.00000997121,0.555145,0.0002270353,0.008789937],"study_design_scores_gemma":[0.0003451286,0.00005213396,0.05005323,0.0001114564,0.0001032083,0.00001059552,0.00004203646,0.7026595,0.00001376476,0.2450986,0.00114215,0.0003681698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04495804,0.00008144743,0.9449827,0.003656764,0.001058755,0.0002856543,0.00003615569,0.00016356,0.00477689],"genre_scores_gemma":[0.9402813,0.0003509545,0.05522972,0.0004537966,0.0003089392,0.000006396394,0.00009735524,0.00002238515,0.003249189],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8953232,"threshold_uncertainty_score":0.999753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2356926815859223,"score_gpt":0.2579987223630974,"score_spread":0.02230604077717513,"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."}}