{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001118939,0.0002357948,0.0002479776,0.0002609163,0.00003792228,0.00009029968,0.001371698,0.000253148,0.002273453],"category_scores_gemma":[0.000008263484,0.000206697,0.00007788326,0.0001904295,0.00003209323,0.00006468815,0.0003298136,0.0001260243,0.001118065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001264369,"about_ca_system_score_gemma":0.00005896624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002856874,"about_ca_topic_score_gemma":0.00001362702,"domain_scores_codex":[0.9989313,0.00004636437,0.0001741242,0.0004540086,0.0001588499,0.0002352935],"domain_scores_gemma":[0.998894,0.00001322622,0.0001512541,0.0008294238,0.0000295334,0.00008257457],"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":[4.683579e-7,0.00002125329,0.000001515128,0.000005598878,0.00001498784,0.000005299657,0.00002345194,0.000008867079,4.818868e-7,0.04220556,0.9513727,0.006339807],"study_design_scores_gemma":[0.0001263611,0.00003299626,0.000003522085,0.00004308022,0.0000038606,0.000008539033,5.771885e-7,0.01427282,0.00003835451,0.001666785,0.983452,0.0003511479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[5.015107e-9,0.0002267251,0.5054874,0.00003773231,0.0003177119,0.00008697679,0.000001005772,0.002485744,0.4913567],"genre_scores_gemma":[0.000001340414,0.0001031338,0.4936166,0.0001389227,0.000117196,0.000008830889,0.000003604159,0.00008987827,0.5059205],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04053878,"threshold_uncertainty_score":0.9996597,"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."}}