{"id":"W2061396971","doi":"10.1021/tx049721s","title":"Dynamic Monitoring of Cytotoxicity on Microelectronic Sensors","year":2005,"lang":"en","type":"article","venue":"Chemical Research in Toxicology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":316,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Alberta","funders":"","keywords":"Cytotoxicity; Viability assay; Cell culture; Cell; Chemistry; Toxicant; Programmed cell death; Cell growth; Neutral red; MTT assay; Microelectronics; Biophysics; Nanotechnology; Apoptosis; Materials science; In vitro; Biochemistry; Biology; Toxicity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005815456,0.0001239382,0.0002091385,0.0001877451,0.00003612837,0.000005789516,0.0002513375,0.0003073141,0.000003476449],"category_scores_gemma":[0.0003821675,0.0001145368,0.0000820299,0.0003014603,0.0003462698,0.00000254566,0.000144221,0.0004636478,0.000006126098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802591,"about_ca_system_score_gemma":0.00007902429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004295073,"about_ca_topic_score_gemma":0.00001556998,"domain_scores_codex":[0.9984172,0.0001559321,0.0002591411,0.0004092976,0.0002141695,0.0005442441],"domain_scores_gemma":[0.9993142,0.0001023358,0.00005134229,0.0003366191,0.0001140009,0.00008146091],"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":[0.0001815659,0.0001951543,0.0005941489,0.00001048039,0.0000157985,0.000004402459,0.000007150611,0.00002684379,0.9936781,0.00004498346,0.0001073629,0.005134038],"study_design_scores_gemma":[0.0002498454,0.0004142834,0.0003901285,0.00002576222,0.000002531738,0.000008533678,0.00002491521,0.0001501461,0.9971341,0.0001887539,0.00130624,0.0001047519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984394,0.000202882,0.00002868886,0.0006047237,0.00001574513,0.0001341618,0.000004579204,0.00001456774,0.0005552898],"genre_scores_gemma":[0.9958649,0.0003539482,0.003413337,0.00004498837,0.0001150506,0.00001658042,0.0000141709,0.00001550746,0.000161529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005029286,"threshold_uncertainty_score":0.4670675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367233864314232,"score_gpt":0.3949336615825491,"score_spread":0.3612613229394067,"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."}}