{"id":"W2108580067","doi":"10.1109/mwscas.1996.594153","title":"Modeling timing correlation and the accurate timing verification of digital interface circuits","year":2002,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Static timing analysis; Computer science; Probabilistic logic; Correlation; Constraint (computer-aided design); Interface (matter); Algorithm; Digital electronics; Theoretical computer science; Electronic circuit; Mathematics; Parallel computing; Artificial intelligence; Embedded 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004334705,0.0008001693,0.0006658466,0.001152568,0.0004923067,0.001211911,0.001383522,0.001066783,0.0008580429],"category_scores_gemma":[0.02027833,0.0008067564,0.000813284,0.001069614,0.001685883,0.002996042,0.001077009,0.001372763,0.0002044638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299419,"about_ca_system_score_gemma":0.002908972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004373985,"about_ca_topic_score_gemma":0.003028401,"domain_scores_codex":[0.9960175,0.001150114,0.0002585025,0.0005327627,0.001731241,0.0003098175],"domain_scores_gemma":[0.9894341,0.006573245,0.001867279,0.001347784,0.0006516832,0.0001259909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001107632,0.0000316177,0.002331302,0.0000744908,0.00003727011,0.000176644,0.000104118,0.8422694,0.005129036,0.12073,0.000203326,0.02880192],"study_design_scores_gemma":[0.00001129862,0.00002380875,0.0002049783,0.00001052922,0.00002095599,0.00006002558,0.000005495667,0.9457294,0.004767841,0.04841423,0.000739781,0.00001157368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02465023,0.0001228291,0.9737708,0.00007524945,0.00001416662,0.00002752696,0.00003989774,0.0003922066,0.000907111],"genre_scores_gemma":[0.6959023,0.0004607411,0.3021714,0.00006852753,0.00004487121,0.0001434624,0.0001609619,0.0001098383,0.0009378629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004373985,"threshold_uncertainty_score":0.02292436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08127128717446908,"score_gpt":0.2690828674480398,"score_spread":0.1878115802735707,"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."}}