{"id":"W1574810583","doi":"10.1002/0471221562.ch7","title":"PD SOI‐Technology SPICE Models","year":2002,"lang":"en","type":"other","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spice; Silicon on insulator; Computer science; Electronic engineering; Engineering; Materials science; Optoelectronics; Silicon","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":[0.0002371651,0.0006979097,0.0004102871,0.0007110189,0.0003564957,0.0009749366,0.001356068,0.0006166018,0.009766212],"category_scores_gemma":[0.001178957,0.0002934458,0.0004844544,0.0007509864,0.0003079993,0.00164879,0.0003942401,0.000721049,0.003999554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009382706,"about_ca_system_score_gemma":0.0005256026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002913288,"about_ca_topic_score_gemma":0.002770196,"domain_scores_codex":[0.9996771,0.00004002929,0.00001294208,0.00003538196,0.0002088045,0.00002574721],"domain_scores_gemma":[0.9997509,0.00005879249,0.00001968836,0.00004130655,0.0001239875,0.000005432438],"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":[0.0001248965,0.00004672866,0.000703936,0.0003758917,0.0000594914,0.0002773518,0.0002708998,0.4949001,0.01719019,0.3768775,0.02343938,0.08573356],"study_design_scores_gemma":[0.00001363184,0.00008185282,0.0002686809,0.00005628206,0.00004105598,0.0003444536,0.00006317133,0.8262387,0.00979093,0.07173647,0.09133846,0.00002630148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01692209,0.001689047,0.7980217,0.0007355268,0.0002342109,0.0001878968,0.002050243,0.002794203,0.177365],"genre_scores_gemma":[0.7401289,0.006917199,0.126953,0.0006255856,0.0001847794,0.0006104328,0.00292247,0.001025719,0.1206319],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009766212,"threshold_uncertainty_score":0.03267127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08103206604371997,"score_gpt":0.2644488593045579,"score_spread":0.1834167932608379,"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."}}