{"id":"W3041522307","doi":"10.1038/s41586-020-2366-x","title":"In vivo quantification of mitochondrial membrane potential","year":2020,"lang":"en","type":"letter","venue":"Nature","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute","keywords":"In vivo; Chemistry; Membrane potential; Biophysics; Biology; Computational biology; Cell biology; Genetics","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":[0.003700501,0.0006753629,0.0006513303,0.0004755648,0.001091956,0.00151493,0.001342762,0.01299504,0.00289765],"category_scores_gemma":[0.008998125,0.0003636942,0.000539585,0.0002546879,0.001856225,0.001601278,0.0007922575,0.01336929,0.003192064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002066428,"about_ca_system_score_gemma":0.0007219507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041121,"about_ca_topic_score_gemma":0.00208919,"domain_scores_codex":[0.998522,0.0005777554,0.0001278533,0.0001672729,0.0004671566,0.0001379635],"domain_scores_gemma":[0.9948155,0.003552821,0.0002186442,0.0003813906,0.0006583557,0.000373299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001470297,0.0001860015,0.001613515,0.0002909921,0.00007470452,0.00384429,0.0001852448,0.0003294506,0.02591107,0.02248779,0.8714144,0.07219233],"study_design_scores_gemma":[0.0004024732,0.0003399636,0.002949601,0.0002118439,0.00008553195,0.004791507,0.0002353028,0.002327621,0.03743666,0.04178052,0.9093134,0.0001255488],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004735173,0.01020028,0.008633845,0.9030198,0.06123331,0.00006558459,0.0003449016,0.0003868305,0.0113803],"genre_scores_gemma":[0.08979675,0.01214484,0.01286735,0.7461927,0.07872216,0.0004972025,0.0003520754,0.0002650082,0.05916199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01299504,"threshold_uncertainty_score":0.01957029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008772360274237508,"score_gpt":0.2466937478044486,"score_spread":0.2379213875302111,"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."}}