{"id":"W1536312630","doi":"10.1109/iscas.2004.1329035","title":"A low-power crosstalk-insensitive signaling scheme for chip-to-chip communication","year":2004,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Crosstalk; Computer science; Chip; Coding (social sciences); Electronic engineering; Noisy-channel coding theorem; Binary number; Telecommunications; Engineering; Mathematics; Decoding methods","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":[0.0001547322,0.0001368222,0.0001465645,0.00005902652,0.0001355411,0.00004217352,0.0001373038,0.00006852115,0.00009359431],"category_scores_gemma":[0.00005603328,0.0001342945,0.00006696081,0.0001398588,0.00002756665,0.00009264924,0.00004109638,0.0001365517,0.00003954409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000783784,"about_ca_system_score_gemma":0.00002204839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003264082,"about_ca_topic_score_gemma":0.0000975173,"domain_scores_codex":[0.999256,0.00001735307,0.0001998366,0.0001697053,0.0001020878,0.0002550653],"domain_scores_gemma":[0.9993342,0.0001259859,0.00001662114,0.0003645952,0.00007005725,0.00008858652],"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":[0.00007580502,0.00009385904,0.00003860137,0.00007008762,0.00002716347,0.000001223278,0.002189846,0.02358139,0.9701342,0.002037554,0.0004114198,0.001338844],"study_design_scores_gemma":[0.0009934715,0.0002464783,0.001013212,0.0001744597,0.00000975133,0.000004035977,0.0001672564,0.01012767,0.9820723,0.004294995,0.0006028456,0.0002935562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732528,0.0001278855,0.02213022,0.0002537094,0.00006520983,0.0004550644,0.000008700201,0.0003227267,0.003383713],"genre_scores_gemma":[0.9686794,0.000005378435,0.03096836,0.000138773,0.00002513191,0.00004387106,0.00002207703,0.00002639045,0.00009061541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01345372,"threshold_uncertainty_score":0.5476373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008954587443478757,"score_gpt":0.2335125458649335,"score_spread":0.2245579584214548,"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."}}