{"id":"W7033199827","doi":"","title":"Planification de la rÃ©colte et allocation des produits aux usines","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Divestment; Processor scheduling; Round table","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004463953,0.0002595514,0.000228817,0.00003523415,0.0002615707,0.0001677058,0.0006416801,0.00009062319,0.00010795],"category_scores_gemma":[0.0000163472,0.0002671281,0.00002291472,0.0001469888,0.0002674962,0.0005444406,0.0002377886,0.0002776214,2.465251e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001186256,"about_ca_system_score_gemma":0.004528399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01225012,"about_ca_topic_score_gemma":0.06399959,"domain_scores_codex":[0.9979315,0.0001453686,0.0002907311,0.0004444786,0.0008830377,0.0003048755],"domain_scores_gemma":[0.9986092,0.0003707363,0.0002969799,0.0004726481,0.000002048205,0.0002483639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001825874,0.0000614214,0.001965003,0.0002237167,0.00004817657,0.0000170941,0.0003129182,0.00005464106,0.01332489,0.810773,0.003811181,0.1693897],"study_design_scores_gemma":[0.0001998449,0.00004058191,0.09580673,0.0003367116,0.00003419049,0.00003427626,0.0002478115,0.02724946,0.01746147,0.004352003,0.8538446,0.0003922943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005178859,0.0007759437,0.05966617,0.02027857,0.0004915595,0.0005653804,0.0009249413,0.00004618799,0.9120724],"genre_scores_gemma":[0.1317321,0.001284624,0.2099457,0.002280517,0.0004373058,0.0001070292,0.0001649993,0.0001469723,0.6539008],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8500335,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007694751838175574,"score_gpt":0.1853768313007844,"score_spread":0.1776820794626089,"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."}}