{"id":"W2132745453","doi":"10.1109/transducers.2011.5969300","title":"A micro device for impedance and mechanical characterization of biological cells","year":2011,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Characterization (materials science); Capacitance; Microfluidics; Electrical impedance; Pipette; Dielectric spectroscopy; Mechanical impedance; Biomedical engineering; Modulus; Analytical Chemistry (journal); Nanotechnology; Composite material; Chemistry; Electrode; Electrical engineering; Chromatography","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":[0.0005777662,0.0005945828,0.0007110368,0.001078401,0.000445973,0.0005743385,0.001096968,0.0009880456,0.00311782],"category_scores_gemma":[0.0008553414,0.0004411848,0.0004017887,0.0005990186,0.0005013946,0.0008093975,0.0007334226,0.0008040246,0.001359941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005787282,"about_ca_system_score_gemma":0.0005010308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002332281,"about_ca_topic_score_gemma":0.0006299465,"domain_scores_codex":[0.9990067,0.00007204939,0.00007496426,0.0002491442,0.0005514904,0.00004569582],"domain_scores_gemma":[0.9993781,0.0002836842,0.00007629741,0.0001057674,0.0001134224,0.0000427157],"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":[0.000035271,0.00002796764,0.0002080085,0.0002001469,0.00001299125,0.00007473282,0.00003877095,0.0001286233,0.9558639,0.001897373,0.001570636,0.03994143],"study_design_scores_gemma":[0.00005013072,0.0004787731,0.002959832,0.00005286756,0.00006240095,0.001819671,0.00003539929,0.008236006,0.8854665,0.001424686,0.09933865,0.00007504771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0397245,0.009392648,0.93441,0.0008558161,0.001270641,0.0006371851,0.001543894,0.004552945,0.007612414],"genre_scores_gemma":[0.171021,0.003548882,0.8092411,0.0009943221,0.0003492348,0.002080766,0.0008952387,0.0001017648,0.01176772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00311782,"threshold_uncertainty_score":0.01043016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04092231585678244,"score_gpt":0.2075136577236599,"score_spread":0.1665913418668775,"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."}}