{"id":"W4281287658","doi":"10.1088/1742-6596/2221/1/012022","title":"Innovative Techniques in Comparator Designs","year":2022,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Comparator; Boosting (machine learning); Computer science; Inverter; Capacitor; Amplifier; Electronic engineering; Energy (signal processing); Electrical engineering; Engineering; CMOS; Mathematics; Voltage; Artificial intelligence; Statistics","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":[0.001573361,0.0006582437,0.0004622485,0.001486261,0.0005142113,0.001782201,0.001915243,0.001004044,0.005177603],"category_scores_gemma":[0.003224337,0.0005273361,0.0005961259,0.00153813,0.001055212,0.003795359,0.001282348,0.001632836,0.001390055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777539,"about_ca_system_score_gemma":0.0005407685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000164481,"about_ca_topic_score_gemma":0.0002487179,"domain_scores_codex":[0.9981225,0.0004675436,0.0001771776,0.0003453293,0.0007802934,0.0001070911],"domain_scores_gemma":[0.9985676,0.000569664,0.000129139,0.0002998713,0.0003988921,0.00003480877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003056028,0.00006696524,0.0006102091,0.001265441,0.0000932907,0.0002548319,0.0003742846,0.0080895,0.06712826,0.4711486,0.003991548,0.4466714],"study_design_scores_gemma":[0.000231667,0.001363132,0.0007154503,0.0008101208,0.000230314,0.004040566,0.0002272041,0.09998556,0.2207913,0.2941157,0.3772808,0.000208166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008933641,0.009888234,0.954757,0.0004736442,0.0007769113,0.0001454239,0.00008725652,0.0006664245,0.02427136],"genre_scores_gemma":[0.2442417,0.006032812,0.7355582,0.000743811,0.0005255446,0.0002329174,0.0001395373,0.0001998584,0.01232571],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005177603,"threshold_uncertainty_score":0.01732087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04311063425491366,"score_gpt":0.2477159368327153,"score_spread":0.2046053025778016,"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."}}