{"id":"W7042120866","doi":"","title":"Ordonnancement de projet sous contraintes de ressources Ã  l'aide d'un algorithme gÃ©nÃ©tique Ã  croisement hybride de type OEP","year":2009,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Processor scheduling; Scheduling (production processes); Rail transportation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001134909,0.001139692,0.000943831,0.0006970133,0.0004850471,0.001953727,0.001997192,0.001707648,0.006554893],"category_scores_gemma":[0.002901258,0.0007550649,0.001305354,0.0007070791,0.0008071801,0.001449484,0.001715298,0.001692939,0.001610919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000819319,"about_ca_system_score_gemma":0.001407732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006247145,"about_ca_topic_score_gemma":0.00476009,"domain_scores_codex":[0.9991603,0.0001529929,0.00005496636,0.0002452465,0.0002681414,0.0001184935],"domain_scores_gemma":[0.9989607,0.0005118384,0.00009167624,0.000183017,0.0001941478,0.00005862793],"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":[0.0003614467,0.0001622238,0.001575863,0.0002772109,0.0001166708,0.0001777018,0.0001751931,0.7021455,0.01085537,0.01729041,0.002397909,0.2644645],"study_design_scores_gemma":[0.00005168752,0.0001067743,0.0002046601,0.00002333304,0.00001978582,0.00005631975,0.00002655553,0.9880797,0.003293294,0.004556891,0.003569697,0.00001128923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01643339,0.0001759627,0.9780955,0.0001506536,0.00006784948,0.00007032095,0.00004322625,0.001337497,0.003625518],"genre_scores_gemma":[0.1982483,0.0003485397,0.7852558,0.000224912,0.00006111496,0.0003212601,0.0003386249,0.0004828663,0.01471858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006554893,"threshold_uncertainty_score":0.02192831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004168129847059305,"score_gpt":0.1593839156195125,"score_spread":0.1552157857724532,"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."}}