{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001597581,0.0008802128,0.001029123,0.00208039,0.001656215,0.003157946,0.003291659,0.0007954941,0.00936452],"category_scores_gemma":[0.005612732,0.0007632192,0.001029965,0.004585078,0.0008331815,0.005591039,0.003361666,0.002092655,0.00414078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657077,"about_ca_system_score_gemma":0.00400184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004748448,"about_ca_topic_score_gemma":0.004922646,"domain_scores_codex":[0.9974107,0.0002361203,0.0003794769,0.0004972672,0.001277977,0.0001984734],"domain_scores_gemma":[0.9949933,0.0005909504,0.0003667681,0.002308611,0.001525553,0.0002148589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009987531,0.000405963,0.003727309,0.0006214709,0.0001258982,0.0003999897,0.000475259,0.02410291,0.01783019,0.1090154,0.1692834,0.6730134],"study_design_scores_gemma":[0.0005205542,0.0005229518,0.001591308,0.0001361767,0.0001641877,0.001094793,0.000215426,0.2469956,0.0506146,0.142566,0.555394,0.0001842209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01431174,0.001141247,0.9299112,0.00134124,0.000788603,0.0006238241,0.007679295,0.02577681,0.01842599],"genre_scores_gemma":[0.09374268,0.000866659,0.8502292,0.000946082,0.0004895612,0.001015878,0.02576807,0.001992765,0.02494915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00936452,"threshold_uncertainty_score":0.03132743,"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."}}