{"id":"W2367269093","doi":"10.1109/tcsi.2016.2538058","title":"Noise Spike Model in Relaxation Oscillators Based on Physical Phase Change","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relaxation oscillator; Noise (video); Metastability; Bistability; Relaxation (psychology); Phase noise; Computer science; Electronic circuit; Spike (software development); Statistical physics; Physics; Topology (electrical circuits); Electronic engineering; Algorithm; Electrical engineering; Engineering; Optoelectronics; Artificial intelligence; Quantum mechanics; Voltage; Voltage-controlled oscillator","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":[0.0004140469,0.0002806425,0.0004225101,0.0003919981,0.0002642235,0.0004875363,0.001190007,0.0008338339,0.001675301],"category_scores_gemma":[0.001179284,0.0002070661,0.0006587944,0.0002393982,0.0008653376,0.001460762,0.0005796354,0.0008543896,0.0002364884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005374167,"about_ca_system_score_gemma":0.000395566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009475224,"about_ca_topic_score_gemma":0.0007307972,"domain_scores_codex":[0.9997585,0.0000506676,0.00001069334,0.00004390288,0.00009917038,0.00003705964],"domain_scores_gemma":[0.9997101,0.0001280326,0.00004156742,0.00004278502,0.00004665339,0.00003078106],"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":[0.000296081,0.0001139959,0.002007498,0.0001315303,0.00005917547,0.0007742008,0.0003835335,0.4925579,0.0878826,0.3998661,0.001233126,0.01469433],"study_design_scores_gemma":[0.000008192826,0.00003438182,0.0001516486,0.000002946367,0.000006817907,0.00005768517,0.000009897752,0.9807276,0.001899653,0.0167461,0.0003474628,0.000007725407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2324146,0.0005855117,0.7492165,0.0008216941,0.0001903237,0.0000661509,0.0001101603,0.0005490642,0.01604602],"genre_scores_gemma":[0.9791434,0.0002745357,0.01416127,0.0001632719,0.00004611447,0.00006161002,0.00005007928,0.00006406428,0.006035592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001675301,"threshold_uncertainty_score":0.005604446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727761781318666,"score_gpt":0.2288605047779392,"score_spread":0.2015828869647525,"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."}}