{"id":"W7032776308","doi":"","title":"Optimisation et simulation pour la gestion de disponibilite sous comportement d'achat","year":2018,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Limiting; Noise (video); Table (database)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003630632,0.000757403,0.0006581568,0.0007424516,0.000453625,0.001376947,0.001050651,0.0009166608,0.0008262196],"category_scores_gemma":[0.0008444765,0.0008146579,0.0002685644,0.000546766,0.0001958017,0.001337197,0.0004922991,0.000648485,0.0003366638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282262,"about_ca_system_score_gemma":0.0009836188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487606,"about_ca_topic_score_gemma":0.0004751666,"domain_scores_codex":[0.9954147,0.0006945581,0.001380992,0.0008077471,0.0007663781,0.0009356523],"domain_scores_gemma":[0.9954624,0.0006587096,0.001694502,0.001263521,0.000522327,0.0003985839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005037981,0.0008272077,0.003972088,0.001225507,0.0001569229,0.00003807111,0.01362792,0.4088148,0.0005296543,0.3152024,0.01011227,0.2454428],"study_design_scores_gemma":[0.0005164997,0.00009600797,0.004835897,0.001138176,0.00006335383,0.0001301967,0.00008680217,0.9261048,0.0005160391,0.01091779,0.05486696,0.0007274727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003777375,0.0005674813,0.9502423,0.004888393,0.0004043793,0.001144664,0.00001769885,0.0009992445,0.03795846],"genre_scores_gemma":[0.2190503,0.0002569693,0.6948069,0.00272728,0.0005711369,0.0002146277,0.0001059971,0.0002470015,0.08201975],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.51729,"threshold_uncertainty_score":0.9996597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114839302549759,"score_gpt":0.2659023762067682,"score_spread":0.2447539831812706,"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."}}