{"id":"W2984063366","doi":"10.1109/imtc.2000.846855","title":"An adaptive path selection method for delay testing","year":2002,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computerized adaptive testing; Path (computing); Computer science; Test (biology); SIGNAL (programming language); Selection (genetic algorithm); Control theory (sociology); Algorithm; Artificial intelligence; Mathematics","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":[0.000366335,0.0005647126,0.0003268958,0.0007844914,0.0002353641,0.0003059273,0.0007614772,0.0003800908,0.001592426],"category_scores_gemma":[0.001283623,0.0001522052,0.0003097845,0.0006003873,0.0003708577,0.0006278304,0.0003788051,0.0006123404,0.0003397117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869865,"about_ca_system_score_gemma":0.0004546094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007762471,"about_ca_topic_score_gemma":0.0009810737,"domain_scores_codex":[0.9994832,0.0001092191,0.00002062896,0.0001258851,0.0002307248,0.00003034607],"domain_scores_gemma":[0.9992149,0.0003532071,0.00007466342,0.0001034503,0.0002217762,0.00003197181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002805216,0.0000889138,0.001395931,0.0001474111,0.00005779323,0.0002047053,0.00009764507,0.03400164,0.1527853,0.01267443,0.002222849,0.7960429],"study_design_scores_gemma":[0.0001610508,0.0008703069,0.002358045,0.00002372706,0.0001159002,0.001664356,0.00004041028,0.846488,0.1074057,0.01465095,0.02612131,0.0001003331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00912974,0.0001881905,0.9893215,0.00005034536,0.00004709107,0.00004471366,0.00002758109,0.0006497229,0.00054115],"genre_scores_gemma":[0.2115885,0.0002801291,0.7850906,0.00009359456,0.0001071784,0.0001381358,0.0001290151,0.00008985531,0.002482992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001592426,"threshold_uncertainty_score":0.005327225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08267408083357991,"score_gpt":0.2944154221906147,"score_spread":0.2117413413570348,"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."}}