{"id":"W4402716146","doi":"10.1109/mwscas60917.2024.10658657","title":"Capacitor Selection and Sizing in Linear and Exponential Integrated Charge Pumps","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sizing; Capacitor; Selection (genetic algorithm); Exponential function; Charge (physics); Electrical engineering; Computer science; Mathematical optimization; Voltage; Engineering; Physics; Mathematics; Chemistry; Artificial intelligence; Mathematical analysis","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":[0.0004883357,0.0003933698,0.0003103935,0.0004208208,0.0004220496,0.001096735,0.001115729,0.0003968507,0.001584645],"category_scores_gemma":[0.001608371,0.0003599524,0.0001966209,0.0005024617,0.000477539,0.001218711,0.0005243341,0.0003658187,0.0002316343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006437257,"about_ca_system_score_gemma":0.0006748324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538543,"about_ca_topic_score_gemma":0.004040495,"domain_scores_codex":[0.9996982,0.00003827681,0.00001778344,0.00007085913,0.0001272039,0.00004784533],"domain_scores_gemma":[0.9995559,0.0002188947,0.00007364304,0.00004168135,0.00009334564,0.00001660761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008157358,0.0002080986,0.003648217,0.0003001952,0.00007838988,0.0003063596,0.0003189381,0.2789539,0.3151241,0.02766556,0.002198881,0.3703816],"study_design_scores_gemma":[0.0001069685,0.0004662403,0.001817361,0.00003592634,0.00008023398,0.0004463132,0.0001351199,0.7524883,0.231939,0.006514233,0.005918512,0.00005184313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2367605,0.0007733732,0.753754,0.0001799224,0.00007618893,0.0001373954,0.00008257297,0.0008692353,0.007366935],"genre_scores_gemma":[0.8609614,0.0002326365,0.1365663,0.00006796211,0.00001527392,0.00003226585,0.00002904842,0.00005785736,0.002037302],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001584645,"threshold_uncertainty_score":0.005301178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274672539290998,"score_gpt":0.2551792082747003,"score_spread":0.2424324828817903,"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."}}