{"id":"W1595513435","doi":"10.1109/iccd.2004.1347903","title":"Functional illinois scan design at RTL","year":2004,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Design for testing; Scan chain; Automatic test pattern generation; Test compression; Register-transfer level; Logic synthesis; Fault coverage; Logic gate; Test set; Compression (physics); Control logic; Test data; Set (abstract data type); Data flow diagram; Embedded system; Computer hardware; Reliability engineering; Algorithm; Engineering; Integrated circuit; Electronic circuit; Programming language; Database; Artificial intelligence; Operating system","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":[0.0001413112,0.00007090786,0.00006083503,0.00004387964,0.0001779422,0.00006376276,0.0002743885,0.00002625071,0.0001098313],"category_scores_gemma":[0.00002661416,0.00005999991,0.00003757464,0.0002090941,0.00002036732,0.0002178081,0.0000915293,0.00004957409,0.0005709397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009029303,"about_ca_system_score_gemma":0.00008054413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005142602,"about_ca_topic_score_gemma":0.00001515887,"domain_scores_codex":[0.9992923,0.00001481652,0.00009985195,0.0002270205,0.000174814,0.0001912034],"domain_scores_gemma":[0.9995988,0.00005335243,0.00002580354,0.0002043524,0.00004058972,0.00007708246],"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":[0.000001108583,0.0002065551,0.006485276,0.00001522016,0.00004481334,0.0001260506,0.0007609878,0.07280111,0.02506721,0.4763505,0.01717951,0.4009616],"study_design_scores_gemma":[0.00713525,0.001069362,0.1772152,0.0002239785,0.00005080176,0.001784165,0.0001473449,0.2407096,0.2188885,0.3268807,0.02236102,0.003534085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005358174,0.00004038551,0.9807573,0.0007939967,0.0001770082,0.00004016632,1.986863e-7,0.0002530486,0.01257973],"genre_scores_gemma":[0.9677501,0.000001992729,0.02924688,0.0008781069,0.00009778204,0.000003562698,0.000001073552,0.000004352444,0.002016156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9623919,"threshold_uncertainty_score":0.7338466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926690952433731,"score_gpt":0.2176321969396519,"score_spread":0.1683652874153146,"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."}}