{"id":"W2324876502","doi":"10.5121/cseij.2015.5101","title":"A Survey of Paradigms for Building and Designing Parallel Computing Machines","year":2015,"lang":"en","type":"article","venue":"Computer Science & Engineering An International Journal","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Naval Academy; National Institute of Standards and Technology; Canadian Institute of Steel Construction","keywords":"Computer science; Data science; Computer architecture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002830606,0.001835961,0.001463534,0.002722739,0.001534389,0.004482989,0.003511056,0.002252907,0.004670358],"category_scores_gemma":[0.004821954,0.002013067,0.001725433,0.005084283,0.002290951,0.007233134,0.002144105,0.004052453,0.003190417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849369,"about_ca_system_score_gemma":0.001868083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008803089,"about_ca_topic_score_gemma":0.0008761508,"domain_scores_codex":[0.996734,0.0006974205,0.0003834659,0.0004701715,0.001570037,0.0001449072],"domain_scores_gemma":[0.9981195,0.000842158,0.0001088191,0.0004197527,0.000425903,0.00008383265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008827945,0.0001149409,0.0005742701,0.004193488,0.00009011191,0.0001922142,0.0005441891,0.0134209,0.005239908,0.5632477,0.01482372,0.3974702],"study_design_scores_gemma":[0.00007333615,0.0001996965,0.0003452201,0.00136982,0.0000596631,0.0008030382,0.0002212553,0.04309406,0.007953629,0.3118622,0.6338986,0.0001195151],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.002136283,0.06431329,0.9040966,0.001603116,0.0004792491,0.0003622132,0.0001971322,0.001442587,0.02536955],"genre_scores_gemma":[0.01935983,0.08065812,0.8893662,0.000848658,0.0007236038,0.001163165,0.0004878071,0.0006874707,0.006705158],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004670358,"threshold_uncertainty_score":0.01562387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429778029945081,"score_gpt":0.3139944890859613,"score_spread":0.2696967087865105,"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."}}