{"id":"W2158258198","doi":"10.1021/bp025733x","title":"On-Line Monitoring of Cell Growth and Cytotoxicity Using Electric Cell-Substrate Impedance Sensing (ECIS)","year":2003,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute; National Research Council Canada","funders":"National Research Council Canada","keywords":"Cytotoxicity; Cell culture; Biophysics; Cell growth; Chemistry; Cell; Cell biology; Materials science; Biology; Biochemistry; In vitro","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":[0.0003888258,0.0006819389,0.000541207,0.0005112362,0.0001296719,0.0004238359,0.0006302668,0.0005102336,0.0006418166],"category_scores_gemma":[0.001001621,0.0002161777,0.0002626179,0.0003841536,0.00026556,0.0005155575,0.0004292729,0.0005219125,0.0003118389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156869,"about_ca_system_score_gemma":0.0001700317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004386811,"about_ca_topic_score_gemma":0.0007873275,"domain_scores_codex":[0.9992018,0.0001333102,0.00005092474,0.0001602086,0.0004190911,0.00003469045],"domain_scores_gemma":[0.9992106,0.0003282618,0.0001562158,0.00008911332,0.000181315,0.00003454661],"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":[0.00005598499,0.00002298395,0.0006018193,0.00005708467,0.000008421563,0.00003242966,0.0000259638,0.0003136207,0.9894165,0.000130651,0.00007307823,0.009261455],"study_design_scores_gemma":[0.000003510192,0.0001153153,0.001420932,0.000002180505,0.000009963129,0.0001398845,0.00001709624,0.005053175,0.9924332,0.00006273611,0.0007338999,0.000008118698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6426982,0.002462817,0.348005,0.0002549649,0.0001946064,0.0001847183,0.001076485,0.001287284,0.003835949],"genre_scores_gemma":[0.840265,0.002756706,0.1488842,0.0001583242,0.00005858442,0.000237916,0.0009023934,0.00006351507,0.006673217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006819389,"threshold_uncertainty_score":0.002290428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731345541232951,"score_gpt":0.2313909903555599,"score_spread":0.2140775349432304,"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."}}