{"id":"W4285201316","doi":"10.1109/tcsii.2022.3180689","title":"Event-Driven Circuits and Systems: A Promising Low Power Technique for Intelligent Sensors in AIoT Era","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Event (particle physics); Power consumption; Computer science; Electronic circuit; Power (physics); Electronic engineering; Topology (electrical circuits); Real-time computing; Embedded system; Electrical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007918208,0.0005341756,0.0007734804,0.0006649931,0.0006882377,0.0001494543,0.0003623521,0.0002494573,0.00004023916],"category_scores_gemma":[0.00001169655,0.0006263405,0.0002205265,0.0005368802,0.00006793263,0.0002726065,0.000006534551,0.0008628489,0.000009009255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007103554,"about_ca_system_score_gemma":0.0001310802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002338684,"about_ca_topic_score_gemma":0.0000179934,"domain_scores_codex":[0.996582,0.0003596649,0.000989423,0.0007491398,0.0005454475,0.0007742713],"domain_scores_gemma":[0.9986708,0.0002748299,0.000155587,0.0005425767,0.0001134577,0.0002428137],"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":[0.00002416663,0.0002509761,0.00001520784,0.0009770098,0.0001953967,0.00006405255,0.003358943,0.8375434,0.1540475,0.000927954,0.0005359671,0.0020595],"study_design_scores_gemma":[0.0190562,0.00738132,0.0003542531,0.01630345,0.001438727,0.008017844,0.04084788,0.4029938,0.3955375,0.001201376,0.09183663,0.01503108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0433847,0.001460277,0.9476776,0.000008038157,0.00200409,0.004091197,0.0004356831,0.0005015092,0.0004369103],"genre_scores_gemma":[0.994063,0.0000605945,0.00001424554,0.0000320498,0.00009882757,0.004932,0.00001452124,0.0001787201,0.0006060537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9506783,"threshold_uncertainty_score":0.9996188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678432529926481,"score_gpt":0.2269962920951183,"score_spread":0.2102119667958535,"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."}}