{"id":"W2883454845","doi":"10.7939/r33b5wk5x","title":"A hierarchical diagnostic system for STUMPS-based BIST structures","year":2000,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001275069,0.0001573011,0.0002141411,0.00002072873,0.0002479012,0.00005891213,0.0004759491,0.00001939231,0.00001208032],"category_scores_gemma":[0.00000975666,0.0001430489,0.00003441808,0.00009653834,0.00005380176,0.0002495879,0.00005859431,0.00009348857,2.406071e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000687403,"about_ca_system_score_gemma":0.001188857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009759988,"about_ca_topic_score_gemma":0.002681653,"domain_scores_codex":[0.9981825,0.00005158546,0.0002452079,0.0002966561,0.0009031961,0.0003208393],"domain_scores_gemma":[0.9983145,0.001120846,0.00007989454,0.0002415865,5.895725e-7,0.0002425672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003800739,0.00003687519,0.01306877,0.0005539602,0.00005677402,0.0001992814,0.000085944,0.001009684,0.002470078,0.5130807,0.0006877582,0.4687122],"study_design_scores_gemma":[0.003807071,0.0008345291,0.174247,0.001273357,0.00009991031,0.0001248273,0.00147771,0.6106118,0.1161615,0.02266666,0.06661966,0.002076043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3822265,0.002140102,0.1645933,0.02141533,0.001445608,0.001997681,0.001116508,0.0004137764,0.4246512],"genre_scores_gemma":[0.9940619,0.00001046811,0.004012377,0.001013696,0.00006594964,0.0000154048,0.000004383282,0.00001166747,0.0008040916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6118354,"threshold_uncertainty_score":0.5833365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004033942857303192,"score_gpt":0.1479853189328028,"score_spread":0.1439513760754997,"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."}}