{"id":"W4404239287","doi":"10.1109/pcds61776.2024.10743358","title":"New Parallel Order Maintenance Data Structure","year":2024,"lang":"en","type":"article","venue":"","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Trent University","funders":"","keywords":"Computer science; Order (exchange); Parallel computing; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002013691,0.00007220996,0.00006704829,0.00003083016,0.000008314337,0.00005759134,0.0003104671,0.00005904238,0.0003077247],"category_scores_gemma":[0.00001014308,0.00005019631,0.000009047173,0.0001430167,0.00000654001,0.0001336706,0.00009095161,0.000101774,0.0001041325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001108373,"about_ca_system_score_gemma":0.00001361678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006387419,"about_ca_topic_score_gemma":0.0001325058,"domain_scores_codex":[0.9996155,0.000001099495,0.0000719164,0.0001336777,0.00004868294,0.0001291465],"domain_scores_gemma":[0.999499,0.000007991486,0.000002350236,0.0004641549,0.000004848126,0.00002167834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[3.274887e-7,4.876279e-7,0.00003272076,0.00006654127,0.00004148626,0.00002311439,0.00002739101,0.0006383341,0.0003764935,0.0330529,0.9203084,0.04543177],"study_design_scores_gemma":[0.0000458515,0.000003551839,0.0001064593,0.0000389233,0.000003922845,0.00002004021,0.00003776039,0.05333337,0.0002418717,0.003410246,0.9426499,0.0001081066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002202366,0.010644,0.9239365,0.001020523,0.002735087,0.0001364072,0.00009692235,0.006905098,0.05232314],"genre_scores_gemma":[0.956475,0.0001151756,0.03293997,0.00002510114,0.0001197028,0.000001556773,0.00002143128,0.00002413959,0.01027793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9542726,"threshold_uncertainty_score":0.3369369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562439404211784,"score_gpt":0.2276946138636778,"score_spread":0.21207021982156,"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."}}