{"id":"W3107926654","doi":"10.1109/ccece47787.2020.9255695","title":"Placement with Sequence-Pair-Driven TCG for Advanced Analog Constraints","year":2020,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Transitive closure; Computer science; Analogue electronics; Analog computer; Graph; Sequence (biology); Transitive reduction; Electronic design automation; Computer engineering; Electronic circuit; Theoretical computer science; Engineering; Embedded system; Mathematics; Electrical 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":[0.00002801004,0.000110755,0.0001270039,0.00002164759,0.00002355773,0.00001354878,0.00008426522,0.00003857374,0.0001551501],"category_scores_gemma":[0.000006776821,0.00009024707,0.00002959661,0.00007848328,0.00003818038,0.00007302106,0.000008229931,0.00006146813,0.0000136194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002917288,"about_ca_system_score_gemma":0.0000144583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001061123,"about_ca_topic_score_gemma":0.000003091811,"domain_scores_codex":[0.999509,0.000004272335,0.000109645,0.0001326632,0.00007287338,0.0001715822],"domain_scores_gemma":[0.9997674,0.00002279629,0.00001278227,0.00008463471,0.00002589282,0.00008647415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002862927,0.00007430196,0.002224896,0.000815568,0.0004970954,0.00009182275,0.001933393,0.09246762,0.6144523,0.01965385,0.08916298,0.1783399],"study_design_scores_gemma":[0.003360006,0.002300362,0.0001033103,0.0001493353,0.00007954316,0.00002605909,0.001088555,0.3118544,0.6200642,0.0006596951,0.05905189,0.001262704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008316847,0.00003178714,0.9727367,0.0003281455,0.00002933618,0.0005437781,0.00003467402,0.001294381,0.01668438],"genre_scores_gemma":[0.9086416,0.00001239483,0.09076216,0.0003494475,0.00003191553,0.00009072487,0.00001629471,0.00002191699,0.00007349072],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9003248,"threshold_uncertainty_score":0.3680169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124292800906442,"score_gpt":0.2395470291519036,"score_spread":0.2083041011428392,"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."}}