{"id":"W2137549308","doi":"10.1061/40754(183)77","title":"Apportioning Concurrent Delays and Accelerations Using Daily Windows","year":2005,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"","keywords":"Computer science; Operating system; Real-time computing","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":[0.0001441939,0.00007184708,0.0000732015,0.00006976648,0.0002173381,0.0002185331,0.0001887548,0.00002900114,0.00001617526],"category_scores_gemma":[0.00001191693,0.00006813623,0.00001837888,0.0001483114,0.00002034463,0.0004724866,0.0001295171,0.00006051175,0.000007214313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002185014,"about_ca_system_score_gemma":0.00003967934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001067499,"about_ca_topic_score_gemma":0.000003807926,"domain_scores_codex":[0.9993842,0.00002348498,0.0001717215,0.0001974533,0.00009378963,0.0001293468],"domain_scores_gemma":[0.9996426,0.00002347054,0.00005760407,0.0001601337,0.00005909143,0.00005714651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001700459,0.0001334489,0.003794104,0.00001126965,0.00002775091,0.000003999479,0.001595319,0.3164797,0.001812402,0.3283657,0.005884577,0.34189],"study_design_scores_gemma":[0.0001051023,0.00001205845,0.0002812982,0.000007036097,0.000002087361,0.00001766776,0.000006734552,0.9937975,0.001841053,0.0001849711,0.003647799,0.00009662194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01022927,0.0001078789,0.9839277,0.0004379677,0.00005866266,0.00007698627,2.453766e-7,0.0004149067,0.004746353],"genre_scores_gemma":[0.5583814,0.00001124007,0.4411661,0.0002603645,0.00003801076,0.000002351695,0.000001017842,0.000002439248,0.000137131],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6773179,"threshold_uncertainty_score":0.2778515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03974050753094104,"score_gpt":0.2943379380668771,"score_spread":0.2545974305359361,"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."}}