{"id":"W3082212141","doi":"10.1007/978-3-319-49583-5","title":"Algorithms and Architectures for Parallel Processing","year":2016,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":173,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Parallel computing; Parallel processing","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":[0.0006218979,0.001805992,0.001207174,0.00117663,0.0008066729,0.002531952,0.00203252,0.001060783,0.02262848],"category_scores_gemma":[0.002390124,0.0008835092,0.0008291273,0.003093265,0.0009817801,0.003178292,0.001511611,0.002543801,0.01183727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008005846,"about_ca_system_score_gemma":0.001008669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008739679,"about_ca_topic_score_gemma":0.0009622914,"domain_scores_codex":[0.999319,0.000118989,0.00005820897,0.000111121,0.0003292512,0.00006341452],"domain_scores_gemma":[0.9991854,0.0002442979,0.00003645463,0.0002918292,0.0002142787,0.0000277441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001461682,0.00006992955,0.0001587389,0.0006897123,0.0000977648,0.00007744616,0.00007824877,0.04517818,0.004612363,0.3286743,0.07523368,0.5449834],"study_design_scores_gemma":[0.00006927441,0.00005149181,0.0001546764,0.0001000372,0.00005577998,0.0001823321,0.00002897942,0.1798405,0.005632278,0.6583417,0.1555128,0.00003013676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001781334,0.007057938,0.9508393,0.0007948272,0.001109877,0.00009649822,0.0002667615,0.003574373,0.03447916],"genre_scores_gemma":[0.04216345,0.009716127,0.8928779,0.0004152467,0.001405741,0.0004747626,0.001074271,0.001340011,0.05053249],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02262848,"threshold_uncertainty_score":0.07569981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659081564663699,"score_gpt":0.2676664535930699,"score_spread":0.2510756379464329,"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."}}