{"id":"W2047904670","doi":"10.1080/07408170701744819","title":"Heuristics for allocation of reconfigurable resources in a serial line with reliability considerations","year":2008,"lang":"en","type":"article","venue":"IIE Transactions","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Council; Division of Civil, Mechanical and Manufacturing Innovation; Engineering Research Centers; National Science Foundation","keywords":"Heuristics; Server; Computer science; Reliability (semiconductor); Monotone polygon; Throughput; Line (geometry); Distributed computing; Resource allocation; Heuristic; Mathematical optimization; Computer network; Operating system; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001747601,0.0008363074,0.0009518557,0.0009167133,0.0005782981,0.001225469,0.001219143,0.0008792614,0.003875605],"category_scores_gemma":[0.003275982,0.0006688978,0.0004269569,0.0009978603,0.0009094636,0.001071102,0.0007491594,0.0006321362,0.0003681735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574166,"about_ca_system_score_gemma":0.00118871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003757707,"about_ca_topic_score_gemma":0.004111021,"domain_scores_codex":[0.9991484,0.0003654289,0.0000365046,0.00009037826,0.0001057148,0.0002536078],"domain_scores_gemma":[0.9976671,0.001417807,0.0003666176,0.0001790984,0.0001622282,0.0002072142],"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":[0.0002231838,0.00009786397,0.0004345457,0.00005076752,0.00001975141,0.0001087447,0.00005792505,0.9752671,0.001417799,0.007382185,0.001138986,0.01380114],"study_design_scores_gemma":[0.00005113249,0.0001207114,0.0001997147,0.00001011976,0.00001071795,0.00003067564,0.00006875237,0.9918828,0.0009158139,0.006069435,0.0006265478,0.00001356651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3182514,0.000762196,0.6702377,0.0004076748,0.00009336288,0.0003910753,0.0001753401,0.0007075786,0.00897363],"genre_scores_gemma":[0.8758106,0.0002616755,0.1211183,0.00007722869,0.00002173277,0.0001157871,0.0001071458,0.00007182802,0.002415637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003875605,"threshold_uncertainty_score":0.0129652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372084801156627,"score_gpt":0.2345268670992343,"score_spread":0.2108060190876681,"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."}}