{"id":"W2503296023","doi":"10.1142/9789812701084_0007","title":"RECENT ADVANCES IN MODELING AND SIMULATION OF HIGH-SPEED INTERCONNECTS","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes series, Institute For Mathematical Sciences","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science","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":[0.000211752,0.0002545675,0.0004558635,0.0001381517,0.00007602229,0.00003129101,0.0001668803,0.0002045788,0.0001142504],"category_scores_gemma":[0.0002650651,0.000204579,0.00005190297,0.00008719636,0.0002795237,0.0004084879,0.00004099895,0.000195823,0.000001413882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005683006,"about_ca_system_score_gemma":0.00003829794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005372533,"about_ca_topic_score_gemma":0.0008528979,"domain_scores_codex":[0.9987828,0.000007250153,0.0004612922,0.0002986422,0.0002247983,0.0002252722],"domain_scores_gemma":[0.9993399,0.0003314029,0.0000714134,0.0001487803,0.00005524198,0.0000532344],"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":[0.00002922433,0.0000119065,5.322271e-7,0.0004938709,0.000006867013,5.494343e-7,0.0002044846,0.8806639,0.0002251089,0.05463455,0.000001266487,0.0637278],"study_design_scores_gemma":[0.0001403457,0.0001787522,5.476485e-7,0.0005836107,0.00001768038,0.00000344172,0.00000328692,0.6157632,0.0008068911,0.3773728,0.004942033,0.0001874235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2090128,0.06812128,0.6056557,0.001833022,0.001537922,0.004162117,0.0002158625,0.0005936344,0.1088677],"genre_scores_gemma":[0.9731745,0.004595493,0.02177908,0.0000260996,0.0001354752,0.00001378481,0.00003673349,0.00003152672,0.0002073637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7641616,"threshold_uncertainty_score":0.8342491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410918598755878,"score_gpt":0.2570160598834575,"score_spread":0.2329068738958987,"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."}}