{"id":"W7051770025","doi":"","title":"ParallÃ©lisation d'un algorithme gÃ©nÃ©tique pour le problÃ¨me d'ordonnancement sur machine unique avec temps de rÃ©glages dÃ©pendants de la sÃ©quence","year":2008,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Epigraph","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004382055,0.0005087178,0.0004712491,0.00005623427,0.0002428639,0.00005449861,0.0004264111,0.0001593426,0.0001814488],"category_scores_gemma":[0.00001841612,0.0005735748,0.00005853221,0.0001159386,0.0001622037,0.0002253554,0.0001315281,0.0004524434,7.628615e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009403898,"about_ca_system_score_gemma":0.004188158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02036061,"about_ca_topic_score_gemma":0.03435505,"domain_scores_codex":[0.9973934,0.0001927908,0.0004885863,0.0004369674,0.0008625629,0.0006257318],"domain_scores_gemma":[0.9982306,0.0007043214,0.0002772877,0.0003393672,0.000001993566,0.000446429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002085397,0.0006938718,0.03817469,0.002615949,0.001101445,0.001509469,0.001436173,0.07067001,0.1237479,0.6591669,0.02474378,0.07593124],"study_design_scores_gemma":[0.001262775,0.00009771273,0.0991646,0.001491606,0.0001116722,0.0001870334,0.0004264883,0.1932603,0.3609236,0.006765629,0.3348478,0.001460885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1978029,0.003618856,0.0405337,0.01799954,0.0004608053,0.001842855,0.004825581,0.0001399679,0.7327758],"genre_scores_gemma":[0.8187625,0.01408179,0.05973279,0.0009428015,0.0002391376,0.0002103986,0.0001585302,0.0002682588,0.1056038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6524013,"threshold_uncertainty_score":0.9996716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002822087436634977,"score_gpt":0.1437790246973697,"score_spread":0.1409569372607347,"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."}}