{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054126,0.001366193,0.001026983,0.0006975593,0.001153193,0.002297027,0.002365413,0.002112785,0.0138142],"category_scores_gemma":[0.002487151,0.000604544,0.001574106,0.0006910895,0.001407997,0.001776271,0.001784704,0.002440713,0.004220655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058654,"about_ca_system_score_gemma":0.002268442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007711284,"about_ca_topic_score_gemma":0.009894032,"domain_scores_codex":[0.9989821,0.0001829418,0.00005269307,0.0003564052,0.0002678214,0.0001580755],"domain_scores_gemma":[0.9989821,0.0003940807,0.00009611615,0.0002570115,0.0002178395,0.00005281805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005512733,0.0002580942,0.001483705,0.0006951219,0.0001494161,0.0003243256,0.0007806549,0.3739043,0.03570257,0.1347495,0.01906757,0.4323334],"study_design_scores_gemma":[0.00008834389,0.0002312738,0.0002920651,0.00007659955,0.0000443773,0.0001686681,0.0001039248,0.9172167,0.01287389,0.03164306,0.03723169,0.000029493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01194538,0.000302097,0.9737356,0.0005584143,0.0002005923,0.0001089673,0.00008532462,0.002667198,0.01039632],"genre_scores_gemma":[0.1548978,0.000427001,0.796624,0.0006935556,0.00009972748,0.0004324559,0.0004702576,0.001247324,0.04510781],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0138142,"threshold_uncertainty_score":0.04621315,"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."}}