{"id":"W1567688340","doi":"10.1109/iccad.1988.122500","title":"Aliasing probability of non-exhaustive randomized syndrome tests","year":2003,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Aliasing; Signature (topology); Computer science; Class (philosophy); Completely randomized design; Algorithm; Mathematics; Artificial intelligence; Statistics","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":[0.006433818,0.0007174747,0.0008908295,0.001922545,0.0004855107,0.001593187,0.001153587,0.001838036,0.002764526],"category_scores_gemma":[0.06643779,0.0005124002,0.0005319009,0.00134516,0.001855401,0.002891823,0.00107617,0.001162667,0.0004858926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935438,"about_ca_system_score_gemma":0.001074411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000714404,"about_ca_topic_score_gemma":0.0007066551,"domain_scores_codex":[0.9895475,0.003522715,0.0004075327,0.001098389,0.004593463,0.0008303266],"domain_scores_gemma":[0.9057355,0.07242828,0.009209765,0.007766643,0.004097986,0.0007617457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002950984,0.0003489884,0.04167508,0.0004743243,0.0003307358,0.002218168,0.0005554091,0.4615828,0.05222945,0.2460539,0.003150548,0.1884296],"study_design_scores_gemma":[0.00009539585,0.0005597333,0.01177394,0.00009551319,0.0001360838,0.002584137,0.0001093236,0.8555382,0.0512218,0.07634263,0.001441766,0.0001014968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4149199,0.00134222,0.5683612,0.0009493703,0.00005757499,0.0001178028,0.0004224073,0.001445645,0.01238394],"genre_scores_gemma":[0.9842121,0.0002370337,0.01385745,0.0001360072,0.00004167662,0.00005876393,0.0002111664,0.00007227321,0.001173663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006433818,"threshold_uncertainty_score":0.03402567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020098661845911,"score_gpt":0.2480384416536822,"score_spread":0.2278374550352231,"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."}}