{"id":"W3137453670","doi":"10.1186/s12915-021-00979-5","title":"Neuronal cell-based high-throughput screen for enhancers of mitochondrial function reveals luteolin as a modulator of mitochondria-endoplasmic reticulum coupling","year":2021,"lang":"en","type":"article","venue":"BMC Biology","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Karolinska Institutet; Università degli Studi di Padova; Stockholms Universitet; Deutsches Zentrum für Neurodegenerative Erkrankungen; King's College London","keywords":"Endoplasmic reticulum; Biology; Mitochondrion; Cell biology; Coupling (piping); Function (biology); Cell; Enhancer; Luteolin; Biochemistry; Quercetin; Transcription factor; Gene; Antioxidant","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":[0.0001883115,0.0003338426,0.0004128412,0.0003175297,0.0001724507,0.0002813087,0.0002660575,0.0002772757,0.001279744],"category_scores_gemma":[0.0001265402,0.0001049925,0.0002952041,0.000245231,0.0001361953,0.0001154355,0.000206352,0.000319116,0.0004016541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000277332,"about_ca_system_score_gemma":0.0002353745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006228526,"about_ca_topic_score_gemma":0.00181413,"domain_scores_codex":[0.9999021,0.00001434619,0.0000105322,0.00002230066,0.00003583261,0.00001488267],"domain_scores_gemma":[0.9999062,0.00002905145,0.00001705988,0.00001361065,0.00001607467,0.00001799089],"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":[0.00004666945,0.00005028972,0.0002058536,0.00002529015,0.000006862495,0.0000414327,0.000004247979,0.0001108299,0.9984078,0.00001848357,0.00004341443,0.001038858],"study_design_scores_gemma":[0.00003582396,0.0008201319,0.00277411,0.000005026418,0.00006032228,0.0001521655,0.00001439354,0.001204441,0.9930803,0.00002711517,0.001819904,0.00000620171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865442,0.002082554,0.007700238,0.0001450573,0.00001789096,0.0002085918,0.001521706,0.0002478823,0.001531931],"genre_scores_gemma":[0.9841813,0.00150862,0.008573451,0.0000977797,0.000007653484,0.0001573068,0.002501042,0.00003134366,0.002941549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001279744,"threshold_uncertainty_score":0.004281163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351175950751091,"score_gpt":0.2559598625892358,"score_spread":0.2424481030817248,"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."}}