{"id":"W2000383438","doi":"10.1145/1123008.1123051","title":"Net cluster","year":2006,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cluster analysis; Benchmark (surveying); Computer science; Digital electronics; Reduction (mathematics); Cluster (spacecraft); Algorithm; Suite; Electronic circuit; Logic gate; Computer engineering; Mathematics; Artificial intelligence; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00001775776,0.00003402042,0.00003035594,0.00001768544,0.000006324062,0.000009264907,0.00002993962,0.00002451546,0.0001643988],"category_scores_gemma":[3.694095e-7,0.00002911387,0.00001220154,0.00002840328,0.000003474491,0.00003207534,0.000003803854,0.00002458978,0.00009657144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006423234,"about_ca_system_score_gemma":6.202525e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002086877,"about_ca_topic_score_gemma":0.000008578749,"domain_scores_codex":[0.9998305,0.000001582921,0.00004465554,0.00002956938,0.00002531826,0.0000683427],"domain_scores_gemma":[0.9999235,0.000004352736,0.000001562814,0.00005835571,0.000003336218,0.000008854368],"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":[5.9976e-7,0.000007840873,0.0005466758,0.00001221223,0.000004163378,0.000002945121,0.00001085889,0.001772451,0.01441915,0.008459924,0.9643896,0.01037358],"study_design_scores_gemma":[0.0003238145,0.00003570144,0.005496072,0.0000115344,0.000008541816,0.00001631324,0.000009766824,0.09537869,0.2856445,0.01779814,0.5947975,0.0004794355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01100625,0.00008947266,0.300243,0.00003698649,0.00006176174,0.00004896128,6.566227e-7,0.001675819,0.6868371],"genre_scores_gemma":[0.9908719,0.000004072661,0.00579391,0.0000731011,0.00007575566,0.000004887321,0.000002228915,0.000009593699,0.003164559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9798656,"threshold_uncertainty_score":0.1800052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003457040795595352,"score_gpt":0.1679895276669399,"score_spread":0.1645324868713446,"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."}}