{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009490934,0.002632772,0.002754877,0.003415363,0.001925627,0.00620245,0.003711422,0.004926172,0.008143876],"category_scores_gemma":[0.02095367,0.001007675,0.001994614,0.003156377,0.001829843,0.004238207,0.003153712,0.004369386,0.005354431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003425216,"about_ca_system_score_gemma":0.004982941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01707069,"about_ca_topic_score_gemma":0.01631782,"domain_scores_codex":[0.9906442,0.003705173,0.0005568859,0.002372355,0.001887919,0.0008333814],"domain_scores_gemma":[0.9881231,0.007806206,0.000490269,0.001194106,0.002007591,0.000378783],"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":[0.0007671394,0.0004287164,0.003752064,0.0002856461,0.0002328158,0.0001081682,0.0006173021,0.08767379,0.004032585,0.0201133,0.02885406,0.8531344],"study_design_scores_gemma":[0.0001442971,0.0001191685,0.001176486,0.00005784874,0.00005042944,0.0000783781,0.0001978779,0.9602062,0.004096256,0.01967444,0.01416709,0.00003149264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03956082,0.001821976,0.9346619,0.002745835,0.0005768859,0.0004951398,0.0006700318,0.00850994,0.01095749],"genre_scores_gemma":[0.2666914,0.0007429041,0.7021562,0.001221019,0.0006608887,0.001234036,0.003631011,0.001804287,0.02185836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01707069,"threshold_uncertainty_score":0.05019349,"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."}}