{"id":"W4244450602","doi":"10.1002/0471221562.ch1","title":"Introduction","year":2002,"lang":"en","type":"other","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Very-large-scale integration; CMOS; Electrical engineering; Computer science; Electronic engineering; Power (physics); Engineering; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004595643,0.0009760346,0.0006294171,0.001277501,0.001184242,0.003470618,0.001704346,0.001745648,0.4385439],"category_scores_gemma":[0.001896818,0.0003269559,0.0005662515,0.001204656,0.0004230496,0.002600732,0.001822343,0.001697759,0.3157583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065798,"about_ca_system_score_gemma":0.001371295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140675,"about_ca_topic_score_gemma":0.002681316,"domain_scores_codex":[0.9994086,0.00004271342,0.00002910947,0.0001312313,0.0003293774,0.0000590195],"domain_scores_gemma":[0.9994401,0.00008111438,0.00002607749,0.00005958465,0.0002838881,0.0001090979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002615073,0.000048132,0.0001812325,0.0003131856,0.000004084694,0.0001209976,0.0001980078,0.0002284581,0.0007411953,0.02200597,0.7719303,0.2042024],"study_design_scores_gemma":[0.000001205665,0.00000737619,0.00008173825,0.00007578536,9.931747e-7,0.00009476089,0.00003242241,0.00002634644,0.00007672837,0.001972005,0.997628,0.00000261757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001016297,0.01256738,0.01146776,0.006654679,0.01123432,0.0002312226,0.003858909,0.002150125,0.9508193],"genre_scores_gemma":[0.002828374,0.00868162,0.005625909,0.00276687,0.00166636,0.0001099585,0.004003894,0.0004956412,0.9738215],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5614561,"threshold_uncertainty_score":0.800849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008952883706700282,"score_gpt":0.1950612537545305,"score_spread":0.1861083700478302,"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."}}