{"id":"W4402040400","doi":"10.1109/cpem61406.2024.10646072","title":"Impedance Measurements at NRC","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Electrical impedance; Focused Impedance Measurement; Computer science; Electrical engineering; Engineering","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":[0.002056807,0.0006910619,0.000871173,0.002248805,0.001454233,0.001037047,0.001483903,0.001586737,0.01699885],"category_scores_gemma":[0.005203162,0.0003629703,0.0003580113,0.002749898,0.0007411873,0.001108824,0.00134224,0.001456096,0.01084015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002597721,"about_ca_system_score_gemma":0.001730398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009847963,"about_ca_topic_score_gemma":0.01184397,"domain_scores_codex":[0.9923359,0.0004870894,0.0001969224,0.001176924,0.005534691,0.0002684677],"domain_scores_gemma":[0.9946182,0.0003626731,0.0002345571,0.000985181,0.003579881,0.0002195506],"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":[0.0006629614,0.0001975758,0.006178327,0.0002748921,0.00003432903,0.0005172836,0.0008984297,0.002577252,0.8514591,0.006518655,0.03191988,0.09876128],"study_design_scores_gemma":[0.0001584075,0.0008905162,0.02800651,0.0001246056,0.00007987539,0.001431504,0.0003090331,0.01392377,0.666819,0.001518483,0.2865863,0.0001520422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4431048,0.002238883,0.2490834,0.002781344,0.001963393,0.001311182,0.03091444,0.0236983,0.2449042],"genre_scores_gemma":[0.7957739,0.0009810226,0.09537458,0.0007575349,0.0002271957,0.0005573893,0.01079678,0.001821066,0.0937105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01699885,"threshold_uncertainty_score":0.05686682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100866861123685,"score_gpt":0.2582324806697709,"score_spread":0.227223812058534,"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."}}