{"id":"W7099263382","doi":"","title":"DIGITAL LOGIC TESTING AND SIMULATION DIGITAL LOGIC TESTING AND SIMULATION SECOND EDITION","year":2008,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permission; Section (typography); Authorization; Test (biology); Logic simulation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001160134,0.0008765077,0.001155065,0.001776488,0.001148766,0.007682575,0.001349576,0.001012635,0.181474],"category_scores_gemma":[0.00730561,0.0005982179,0.0005695701,0.003317743,0.002902538,0.002971502,0.001646888,0.001627268,0.03749697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009689597,"about_ca_system_score_gemma":0.01200492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1624599,"about_ca_topic_score_gemma":0.1438275,"domain_scores_codex":[0.9984457,0.0001883868,0.00005898018,0.000154601,0.001001719,0.0001505995],"domain_scores_gemma":[0.9944965,0.001149238,0.0001060176,0.001037971,0.002989296,0.0002209263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001024262,0.00003729882,0.0006387244,0.0002408631,0.00003000519,0.0001842681,0.0002228335,0.01218611,0.0009755713,0.3096922,0.3150094,0.3606803],"study_design_scores_gemma":[0.00002971326,0.00002302912,0.0006441136,0.0002390181,0.00001891671,0.0002023485,0.0001670287,0.01726974,0.001389359,0.08709658,0.8928798,0.00004034815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003564991,0.01031859,0.1380709,0.005671547,0.003263241,0.0001696762,0.004493838,0.006020871,0.8284264],"genre_scores_gemma":[0.07213153,0.008809412,0.03822895,0.0005764554,0.000341948,0.0001369035,0.002636489,0.001267199,0.8758711],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.181474,"threshold_uncertainty_score":0.6070911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08083777918309673,"score_gpt":0.230031889901445,"score_spread":0.1491941107183482,"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."}}