{"id":"W2976580801","doi":"10.1016/j.chembiol.2019.09.007","title":"Beyond DPPH: Use of Fluorescence-Enabled Inhibited Autoxidation to Predict Oxidative Cell Death Rescue","year":2019,"lang":"en","type":"article","venue":"Cell chemical biology","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Autoxidation; Antioxidant; Lipid peroxidation; Chemistry; Biochemistry; DPPH; Oxidative phosphorylation; Programmed cell death; Resveratrol; Oxidative stress; Apoptosis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001453939,0.0003298946,0.0004356383,0.00009486142,0.00003649386,0.00001795869,0.0004115799,0.0005110343,0.0001052954],"category_scores_gemma":[0.0002225166,0.0003111676,0.000157888,0.0001837926,0.0001837737,0.00001443913,0.0003974299,0.0002216245,0.00009179055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004437042,"about_ca_system_score_gemma":0.00009787727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003651499,"about_ca_topic_score_gemma":0.000003042461,"domain_scores_codex":[0.9978989,0.0001153455,0.0005026829,0.000854025,0.0001216551,0.0005073335],"domain_scores_gemma":[0.9985895,0.00008287562,0.0002004455,0.0006531007,0.0002540521,0.0002200775],"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":[0.0003404323,0.0001754922,0.008781276,0.00006289099,0.00003493207,8.666879e-7,0.00007806091,0.00003555817,0.9885607,0.0001111796,0.001639693,0.0001788615],"study_design_scores_gemma":[0.0009587854,0.0004545738,0.0007644611,0.00002069104,0.00002531635,0.000002129381,0.0000478408,0.00007161516,0.9924483,0.0003203794,0.00453928,0.000346574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953606,0.0001460371,0.0007564051,0.0000722381,0.0001784588,0.000602323,0.0002100302,0.00002436255,0.002649507],"genre_scores_gemma":[0.9905475,0.00007881151,0.006627193,0.0003392134,0.0001930334,0.00003620651,0.001341997,0.00003738089,0.0007986931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008016815,"threshold_uncertainty_score":0.999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164949262554859,"score_gpt":0.2310618594486467,"score_spread":0.2194123668230981,"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."}}