{"id":"W623748610","doi":"10.71781/11067","title":"Heuristiques efficaces pour l'optimisation de la performance des systèmes séries-parallèles","year":2009,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001839245,0.001206709,0.001321832,0.0006304591,0.0005662361,0.001334107,0.0009419036,0.0009651631,0.008537047],"category_scores_gemma":[0.006653789,0.0004249899,0.0006235045,0.0007919567,0.0006978548,0.0008602405,0.0005431869,0.001194112,0.0006993302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536677,"about_ca_system_score_gemma":0.00168929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01692852,"about_ca_topic_score_gemma":0.02093158,"domain_scores_codex":[0.9992425,0.0002067225,0.00002508909,0.00006941486,0.0003193196,0.000136793],"domain_scores_gemma":[0.9972894,0.001969421,0.0001331238,0.0001405068,0.0003821721,0.00008527013],"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":[0.0002710832,0.00009667392,0.0004530413,0.0001288245,0.00003893918,0.0000285863,0.00004690261,0.9535931,0.004028073,0.002361938,0.001087443,0.03786537],"study_design_scores_gemma":[0.00003284873,0.0001003708,0.000371966,0.00001284391,0.00001563633,0.00001047635,0.00001829158,0.9947378,0.003140921,0.0009000956,0.0006534879,0.000005265098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4252365,0.008020216,0.5030252,0.002467492,0.0005616638,0.0003152849,0.0004717444,0.002960936,0.05694099],"genre_scores_gemma":[0.9110866,0.001552459,0.07338409,0.000195736,0.0001489607,0.0001781852,0.0001768763,0.0005131975,0.01276371],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01692852,"threshold_uncertainty_score":0.03365999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00469618565482372,"score_gpt":0.180269718700129,"score_spread":0.1755735330453053,"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."}}