{"id":"W4230536210","doi":"10.1007/978-90-481-9751-4_339","title":"Single-Cell Impedance Spectroscopy","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dielectric spectroscopy; Materials science; Spectroscopy; Electrical impedance; Physics; Engineering; Electrical engineering; Astronomy","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":[0.0003648441,0.001084637,0.001191135,0.0008520518,0.0003577687,0.00127156,0.001502155,0.001343962,0.01055755],"category_scores_gemma":[0.0003021208,0.0005882907,0.0004236281,0.001205868,0.0005317737,0.002191223,0.001111974,0.001264805,0.01567917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005438518,"about_ca_system_score_gemma":0.0002541498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001611114,"about_ca_topic_score_gemma":0.000430307,"domain_scores_codex":[0.9994678,0.00003312788,0.00001726773,0.0001500397,0.0003034674,0.00002830064],"domain_scores_gemma":[0.999886,0.00004277501,0.000008287569,0.00002268356,0.00003314778,0.000007050816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000592388,0.00007329569,0.00009526304,0.0006823363,0.00003784337,0.0001125257,0.0001348443,0.0009844729,0.5925373,0.01891111,0.030328,0.3560438],"study_design_scores_gemma":[0.00000938523,0.00007196829,0.0004274204,0.00008643792,0.00003244701,0.0006864234,0.00006965993,0.007263271,0.561017,0.01581246,0.4144666,0.00005686747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01131597,0.05642351,0.7814637,0.001842921,0.002722051,0.0002114633,0.002210921,0.005023971,0.1387854],"genre_scores_gemma":[0.1021125,0.07187541,0.2597567,0.002135716,0.00128181,0.0006147379,0.00392078,0.001189921,0.5571124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01055755,"threshold_uncertainty_score":0.03531855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671026674894814,"score_gpt":0.1861350183655401,"score_spread":0.169424751616592,"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."}}