{"id":"W4213209811","doi":"10.36227/techrxiv.19140137.v1","title":"Multi-Purpose Controllable Electrochemical Impedance Spectroscopy Using Synchronous Buck Converter","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dielectric spectroscopy; Battery (electricity); Electrical impedance; Electrochemistry; Spectroscopy; Buck converter; Materials science; Electrical engineering; Optoelectronics; Computer science; Chemistry; Physics; Electronic engineering; Analytical Chemistry (journal); Voltage; Engineering; Electrode; Power (physics); Physical chemistry; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003946714,0.0006921125,0.0006329342,0.0005308553,0.0001993808,0.0007974211,0.001568106,0.0006049613,0.001551772],"category_scores_gemma":[0.0006185002,0.0003094867,0.0003092139,0.0004088249,0.0003054217,0.001527791,0.0006205802,0.0005193096,0.0007808941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002456148,"about_ca_system_score_gemma":0.0001489174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009197994,"about_ca_topic_score_gemma":0.0002234566,"domain_scores_codex":[0.9993723,0.00006882859,0.00003896622,0.000197412,0.0002777202,0.00004478762],"domain_scores_gemma":[0.9995678,0.0001404153,0.00007620615,0.00008259038,0.00009560899,0.00003738119],"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":[0.0001495443,0.00005633017,0.0006692714,0.0001975491,0.00001396654,0.0001357841,0.00005819737,0.0004135067,0.9589656,0.001000984,0.0003061995,0.03803309],"study_design_scores_gemma":[0.00001991987,0.000210354,0.001239965,0.00001164747,0.00002368157,0.0005442094,0.00002709798,0.01850804,0.9745487,0.0005290422,0.004311372,0.00002607459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2633118,0.002812473,0.7208781,0.0005686693,0.0004886355,0.0002767438,0.0005579485,0.003310103,0.007795464],"genre_scores_gemma":[0.8891863,0.0008213489,0.1040364,0.0002976034,0.0001575066,0.000124491,0.0001649004,0.0001281647,0.005083176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001568106,"threshold_uncertainty_score":0.005191207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898458455771835,"score_gpt":0.3089131093797721,"score_spread":0.2799285248220538,"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."}}