{"id":"W2142957060","doi":"10.1109/ectc.1996.550493","title":"Optimal pin-assignment for ground noise minimization in IC packages and connectors","year":2002,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Signal integrity; Minification; Very-large-scale integration; Simulated annealing; Computer science; Genetic algorithm; Noise (video); SIGNAL (programming language); Electronic engineering; Embedded system; Engineering; Printed circuit board; Algorithm","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":[0.0004337193,0.0005769759,0.0003433733,0.0004742669,0.0002915857,0.0003866313,0.0003634357,0.0004559044,0.0007887495],"category_scores_gemma":[0.001157051,0.000260608,0.0002055883,0.0003944485,0.0004651791,0.0003863114,0.0003720827,0.0002548623,0.0001550165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005105379,"about_ca_system_score_gemma":0.0005605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605257,"about_ca_topic_score_gemma":0.00191045,"domain_scores_codex":[0.9997402,0.0001195371,0.000006969788,0.00003679164,0.00006208669,0.00003447577],"domain_scores_gemma":[0.9998179,0.00008305063,0.00003280607,0.00001630598,0.0000406434,0.000009398632],"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":[0.00004202741,0.00001892969,0.0003631753,0.00002022437,0.000008534341,0.00003111151,0.00003887293,0.9649521,0.008747241,0.003654335,0.0002060715,0.02191745],"study_design_scores_gemma":[0.000008773322,0.00004947286,0.0001573246,0.000001838106,0.000005244374,0.00001546095,0.000008699487,0.9932187,0.004126152,0.002085445,0.0003188853,0.000003936802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.185117,0.0002222506,0.810783,0.0001077507,0.00002004676,0.00003290807,0.00002138155,0.0004374586,0.003258229],"genre_scores_gemma":[0.8239631,0.00009361027,0.1745984,0.00003284288,0.000007578373,0.00004449086,0.00004023472,0.00006521229,0.001154495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001605257,"threshold_uncertainty_score":0.00370425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296237186780841,"score_gpt":0.2035452388955294,"score_spread":0.190582867027721,"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."}}