{"id":"W2944913135","doi":"10.1155/2019/3185137","title":"Low-Complexity Scalable Architectures for Parallel Computation of Similarity Measures","year":2019,"lang":"en","type":"article","venue":"Scientific Programming","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Scalability; Computation; Flexibility (engineering); Scheduling (production processes); Curse of dimensionality; Parallel computing; Similarity (geometry); Theoretical computer science; Algorithm; Artificial intelligence; Mathematics; Mathematical optimization","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":[0.0002696542,0.0004922525,0.0002783774,0.0006651401,0.0002984936,0.0006489333,0.001147519,0.0003034594,0.003856836],"category_scores_gemma":[0.00103021,0.0002170242,0.0003122137,0.001242214,0.0002288012,0.0009921493,0.0004572617,0.0005005653,0.0009604138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004672704,"about_ca_system_score_gemma":0.0006969081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006787585,"about_ca_topic_score_gemma":0.001594166,"domain_scores_codex":[0.9997639,0.00004846627,0.00002013949,0.00004456949,0.00008724286,0.000035684],"domain_scores_gemma":[0.9995487,0.0001778769,0.00005374673,0.00008730032,0.00011411,0.00001821133],"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":[0.0005164771,0.0002616677,0.002432015,0.0007899635,0.0001396354,0.0003736471,0.0002313657,0.2210544,0.1413795,0.04925045,0.01350197,0.570069],"study_design_scores_gemma":[0.00008225916,0.0004700399,0.001166406,0.00003734262,0.00005934898,0.0002517819,0.0001015939,0.9210255,0.04526744,0.01908513,0.01242976,0.00002337298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09758263,0.001343052,0.8897771,0.0002483599,0.00009374902,0.0001254916,0.0001693401,0.002274849,0.008385567],"genre_scores_gemma":[0.5102761,0.0009055729,0.4830158,0.0001276877,0.00007583177,0.0003703244,0.0006432921,0.0001130845,0.004472187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003856836,"threshold_uncertainty_score":0.01290238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03955990859306042,"score_gpt":0.2835737805798486,"score_spread":0.2440138719867882,"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."}}