{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001229182,0.0001119671,0.0004120144,0.00006357296,0.00006678008,0.00004252336,0.0003378917,0.00003960888,0.00002792344],"category_scores_gemma":[0.0006768678,0.00008649169,0.0001160002,0.000400202,0.0001022005,0.0002578469,0.00005801528,0.00007937052,0.00001706342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002427068,"about_ca_system_score_gemma":0.00009139675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005593061,"about_ca_topic_score_gemma":0.000003243224,"domain_scores_codex":[0.9988629,0.00009132329,0.0003327789,0.0002976128,0.0001922463,0.0002231895],"domain_scores_gemma":[0.998951,0.0003546198,0.000126271,0.0003679693,0.0001310842,0.00006900859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001211021,0.001245184,0.09506045,0.0005085988,0.0003374939,0.0002721593,0.005317847,0.001495891,0.0136013,0.8054439,0.0004060808,0.07619004],"study_design_scores_gemma":[0.232525,0.0006372997,0.07184612,0.000873738,0.0001977762,0.00159831,0.000332247,0.2482069,0.06461463,0.3764539,0.0002386199,0.002475463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2793841,0.00003723714,0.6731567,0.00007159536,0.0001375796,0.000389026,3.380999e-7,0.0001302929,0.04669314],"genre_scores_gemma":[0.9624788,8.847566e-7,0.03721575,0.00006023263,0.000005206698,0.000009703765,2.633024e-7,0.00000403745,0.0002251414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6830946,"threshold_uncertainty_score":0.3527029,"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."}}