{"id":"W2103044948","doi":"10.5555/367072.367991","title":"Testability trade-offs for BIST RTL data paths: the case for three dimensional design space","year":2001,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Testability; Design for testing; Built-in self-test; Overhead (engineering); Dissipation; Embedded system; Computer science; Reliability (semiconductor); Reliability engineering; Power (physics); Engineering","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":[0.001505879,0.0001528895,0.0001506413,0.00002833678,0.0005564275,0.0001810418,0.00132416,0.00004645778,0.000009830059],"category_scores_gemma":[0.0006317119,0.00009720096,0.00007188329,0.0002529089,0.00007422979,0.0004490791,0.0002891207,0.00008761325,0.000004859202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000261565,"about_ca_system_score_gemma":0.0001431465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001777922,"about_ca_topic_score_gemma":0.0006784219,"domain_scores_codex":[0.9985452,0.00005677859,0.0002329708,0.0006190005,0.0001560797,0.000389925],"domain_scores_gemma":[0.9957196,0.002663039,0.00007494948,0.001372639,0.00007252293,0.00009726665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006009047,0.0002907595,0.003448596,0.00004901428,0.00003603705,0.0003003212,0.0002444488,0.000507071,0.0006868716,0.03409677,0.01761659,0.9427175],"study_design_scores_gemma":[0.0003963709,0.0001312107,0.0008593884,0.00001116465,0.00001782868,0.0008894357,0.00004335192,0.9763899,0.0001419231,0.01636659,0.004555624,0.0001971889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003632931,0.0001408587,0.9892082,0.005634998,0.0001603071,0.0008091301,0.00004911506,0.0001675203,0.0001969268],"genre_scores_gemma":[0.8776034,0.000001810719,0.1212386,0.0007229025,0.0001969093,0.00008158574,0.00002144472,0.00001480436,0.00011863],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9758828,"threshold_uncertainty_score":0.4279647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15091094533077,"score_gpt":0.3008703260573311,"score_spread":0.1499593807265611,"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."}}