{"id":"W2047736902","doi":"10.1080/17445760903225700","title":"A (4<i>n</i> − 9)/3 diagnosis algorithm for generalised cube networks","year":2010,"lang":"en","type":"article","venue":"International Journal of Parallel Emergent and Distributed Systems","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hypercube; Multiprocessing; Computer science; Cube (algebra); Algorithm; Set (abstract data type); Component (thermodynamics); Mathematics; Combinatorics; Parallel computing","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":[0.0007266063,0.0001778873,0.0003200674,0.0001446821,0.0001112714,0.0003938101,0.0008651753,0.0001276458,0.00002141731],"category_scores_gemma":[0.00006407384,0.0001446687,0.0002402383,0.0001322145,0.00003071001,0.000439929,0.00009536293,0.0002366162,0.000002632567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004173653,"about_ca_system_score_gemma":0.00005233136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006952495,"about_ca_topic_score_gemma":0.0000237768,"domain_scores_codex":[0.9981277,0.00007322434,0.0008761275,0.0002270562,0.0004488308,0.0002470466],"domain_scores_gemma":[0.9977356,0.0001418857,0.0006178168,0.0001888872,0.001114385,0.0002014337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002903431,0.0008453866,0.0160816,0.00007429843,0.002617545,0.0003124151,0.0008099035,0.1857171,0.001587717,0.1748637,0.4886764,0.1281236],"study_design_scores_gemma":[0.001281552,0.0001078563,0.0003808124,0.00005712505,0.00002002399,0.000406309,0.00006343416,0.8264494,0.00003550304,0.0003421861,0.1706654,0.0001903625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008381927,0.0009553321,0.9687493,0.0009820977,0.02053249,0.0002319931,0.00007612605,0.00002838131,0.00006230598],"genre_scores_gemma":[0.9836825,0.0004086072,0.01162905,0.0001521694,0.003796772,0.00009010479,0.00005750132,0.00001434042,0.0001690248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9753005,"threshold_uncertainty_score":0.5899417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140327216031463,"score_gpt":0.2623787811987453,"score_spread":0.248346059595599,"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."}}