{"id":"W3137177646","doi":"10.1002/cpz1.75","title":"Real‐Time Assessment of Mitochondrial Toxicity in HepG2 Cells Using the Seahorse Extracellular Flux Analyzer","year":2021,"lang":"en","type":"article","venue":"Current Protocols","topic":"Liver physiology and pathology","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Mitochondrion; Extracellular; Adenosine triphosphate; Cell biology; Biology; Drug; Intracellular; Glycolysis; Flux (metallurgy); Pharmacology; Seahorse; ATP synthase; Biochemistry; Chemistry; Metabolism; Enzyme","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":[0.001036141,0.0008746706,0.0007337334,0.00106759,0.0005561146,0.0006700717,0.0004928936,0.0005846745,0.002253157],"category_scores_gemma":[0.0003983746,0.0002998944,0.0004528465,0.001145375,0.0003841141,0.0005244609,0.0004119457,0.001072761,0.0012365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004535628,"about_ca_system_score_gemma":0.0004664706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008565211,"about_ca_topic_score_gemma":0.002571965,"domain_scores_codex":[0.9987174,0.0002380897,0.0001265025,0.0002545604,0.0005813218,0.00008208238],"domain_scores_gemma":[0.9995638,0.0001001824,0.00008739585,0.00004450787,0.0001647719,0.00003938108],"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":[0.0001483928,0.00007448923,0.000852763,0.00009980393,0.00001445054,0.00004899129,0.00008912151,0.0001945327,0.9938225,0.0002232278,0.0004852831,0.003946468],"study_design_scores_gemma":[0.00002604704,0.0002782469,0.008781795,0.00002488851,0.00002969147,0.0001082616,0.00008714792,0.006942985,0.9792757,0.0001726594,0.004233279,0.00003942852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6004179,0.003105613,0.359391,0.0007039428,0.0004298279,0.001173438,0.0149447,0.005090109,0.01474348],"genre_scores_gemma":[0.4544703,0.004873086,0.5036994,0.0005762472,0.0001288105,0.005560909,0.01371658,0.000550785,0.01642386],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002253157,"threshold_uncertainty_score":0.007537544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06368164489716091,"score_gpt":0.4030688022769928,"score_spread":0.3393871573798318,"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."}}