{"id":"W1582191410","doi":"10.1002/9780470932025.ch8","title":"Nonserial–Parallel Algorithms","year":2011,"lang":"en","type":"other","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Parallel algorithm; Algorithm; Parallel computing; Analysis of parallel algorithms","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":[0.002292663,0.0009595137,0.0007218159,0.001312715,0.001253505,0.002767306,0.001978855,0.0008470482,0.0178794],"category_scores_gemma":[0.008843559,0.0004284935,0.001177609,0.001956986,0.001638923,0.005148682,0.002118439,0.002085343,0.005024915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465268,"about_ca_system_score_gemma":0.001378121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008755419,"about_ca_topic_score_gemma":0.001210288,"domain_scores_codex":[0.9973417,0.0006506191,0.0002260001,0.0005707841,0.001053798,0.0001571213],"domain_scores_gemma":[0.996588,0.001306415,0.0001463511,0.001120956,0.0007606297,0.00007767165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001058102,0.00009484278,0.0004081984,0.0001968131,0.00004273904,0.00003762456,0.00008169193,0.01894971,0.00134588,0.7250203,0.009664046,0.2440523],"study_design_scores_gemma":[0.00004044348,0.0000419297,0.0001904349,0.00003525404,0.00002364633,0.0001130793,0.00003712378,0.1616205,0.003486044,0.7871078,0.04729213,0.00001156227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01016479,0.001079773,0.9216615,0.0008239266,0.0004688456,0.000216846,0.0002524383,0.001316971,0.06401492],"genre_scores_gemma":[0.1739437,0.001138503,0.7777504,0.0005668621,0.0004672716,0.0002850544,0.00116887,0.0008207135,0.04385861],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0178794,"threshold_uncertainty_score":0.05981255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269845453596123,"score_gpt":0.2527435630918781,"score_spread":0.2300451085559168,"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."}}