{"id":"W2110050943","doi":"10.1109/ismvl.1991.130749","title":"A general-purpose inference processor for real-time intelligent controllers using systolic arrays","year":2002,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Computer science; Inference; Parallelism (grammar); Inference engine; Systolic array; General purpose; Block (permutation group theory); Parallel computing; Very-large-scale integration; Artificial intelligence; Embedded system; Computer architecture; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002983707,0.0002394155,0.0004394207,0.0001139065,0.0001907891,0.000250984,0.0008540981,0.00009872991,0.00004420514],"category_scores_gemma":[0.00009824496,0.0001849206,0.0001515985,0.0003085931,0.00004218067,0.0003648608,0.00009983691,0.00007426998,0.0001824431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021492,"about_ca_system_score_gemma":0.00006680891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001831616,"about_ca_topic_score_gemma":0.00001078071,"domain_scores_codex":[0.9981486,0.0000730138,0.0004514813,0.0005246756,0.000279559,0.0005226647],"domain_scores_gemma":[0.9987131,0.0001897648,0.0001753621,0.0005333078,0.0002121057,0.0001763906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001618221,0.0008127911,0.0004479005,0.000518063,0.0004213967,0.00007100854,0.004966706,0.01667197,0.08201347,0.7803808,0.0144941,0.09903994],"study_design_scores_gemma":[0.0009692575,0.0001587342,0.00001555125,0.00004084737,0.00001666863,0.00002469536,0.00003461519,0.9927857,0.0007157984,0.00332638,0.001605078,0.0003066694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009717936,0.0005126249,0.9500846,0.0006391975,0.0003551592,0.001345783,0.00000466903,0.0004210787,0.03691892],"genre_scores_gemma":[0.9494485,0.00005459942,0.04075969,0.0005104131,0.0002427655,0.0002523827,0.000001558597,0.00001827389,0.008711777],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9761137,"threshold_uncertainty_score":0.7540842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04798899888741771,"score_gpt":0.2646299603978924,"score_spread":0.2166409615104747,"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."}}