{"id":"W3087082456","doi":"10.1101/2020.09.21.307231","title":"Renal proximal tubule cell state and metabolism are coupled by nuclear receptors","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Ministry of Science, ICT and Future Planning; National Institutes of Health; Ministerio de Economía y Competitividad; Generalitat de Catalunya; Centres de Recerca de Catalunya; Deutsche Forschungsgemeinschaft; National Research Foundation; European Commission; National Research Foundation of Korea; McGill University; University of Pennsylvania","keywords":"Cell; Cell type; Cell biology; Receptor; Biology; Metabolism; Kidney; Lipid metabolism; Oxidative phosphorylation; RNA; Biochemistry; Chemistry; Gene; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002271449,0.0001258265,0.0003149114,0.0002672093,0.0001381265,0.000537099,0.0001064376,0.0001976963,0.001100925],"category_scores_gemma":[0.0001884336,0.0001639061,0.0002225065,0.0002772744,0.0002235843,0.0001880838,0.0002197553,0.0003135127,0.0003982733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207035,"about_ca_system_score_gemma":0.0001634074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008031823,"about_ca_topic_score_gemma":0.001069442,"domain_scores_codex":[0.9997692,0.00003421284,0.00001127093,0.0000853274,0.00006872688,0.00003127635],"domain_scores_gemma":[0.9998674,0.00002526017,0.00004164888,0.00002533674,0.00002260861,0.00001775692],"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":[0.00009015969,0.000005223492,0.003155106,0.00001624997,0.00001054086,0.00002288348,0.00002548254,0.0001195313,0.9946856,0.0001221595,0.00004041411,0.001706628],"study_design_scores_gemma":[0.00001025166,0.0001021243,0.1763312,0.000008145603,0.00005002633,0.0003375869,0.0001188954,0.002528599,0.8172064,0.0004843803,0.002806297,0.00001608763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891896,0.001072148,0.007414197,0.00007212797,0.00001346512,0.000007898213,0.000969005,0.00009733409,0.001164202],"genre_scores_gemma":[0.9937219,0.0005467696,0.002765665,0.00004773989,0.000006102168,0.00001585195,0.0007698629,0.0000441558,0.002081857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001100925,"threshold_uncertainty_score":0.003682971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005531393465331425,"score_gpt":0.1851062156289085,"score_spread":0.179574822163577,"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."}}