{"id":"W4297310187","doi":"10.1109/tim.2022.3207833","title":"Resonance-Like Impedance Measurement Technique for Life Science Applications","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance; Dielectric spectroscopy; Resonance (particle physics); Capacitive sensing; Analytical Chemistry (journal); Indium tin oxide; Capacitance; Materials science; Electrode; Physics; Chemistry; Electrical engineering; Electrochemistry; Engineering; Atomic physics; Physical chemistry","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007593372,0.0001644509,0.0001505559,0.0001401663,0.001590164,0.00005331858,0.0002366999,0.00003316945,0.0001548996],"category_scores_gemma":[0.000008007823,0.0001748636,0.0001005955,0.0005047573,0.0001278729,0.0001014724,0.000004571102,0.0002151456,0.000004439235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008336871,"about_ca_system_score_gemma":0.0003167239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001923424,"about_ca_topic_score_gemma":0.0000159898,"domain_scores_codex":[0.9976464,0.00001761114,0.0003488448,0.0005024577,0.001207398,0.0002772706],"domain_scores_gemma":[0.9990888,0.0000208112,0.000128733,0.0003072333,0.0002854716,0.0001689908],"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":[0.00005961326,0.0003457016,0.00001213454,0.0000437977,0.00003792124,5.404254e-8,0.00008101157,0.0004011563,0.9490279,0.0005790041,0.000166607,0.0492451],"study_design_scores_gemma":[0.0008420516,0.00009080148,0.00002320113,0.00002191052,0.00009794882,0.00000493628,0.000485391,0.0008081752,0.9421254,0.0005913881,0.05466531,0.000243502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0119014,0.0003177436,0.9840853,0.0008539665,0.00009786776,0.001287817,0.0001318603,0.0001322014,0.001191825],"genre_scores_gemma":[0.9817709,0.0000854209,0.002061522,0.00040495,0.00003218383,0.01547163,0.00001032425,0.00001820686,0.0001448053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9820238,"threshold_uncertainty_score":0.9997096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331525469269057,"score_gpt":0.2643314327702208,"score_spread":0.2310161780775302,"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."}}