{"id":"W2927778654","doi":"10.1016/j.cell.2019.10.021","title":"Atoms to Phenotypes: Molecular Design Principles of Cellular Energy Metabolism","year":2019,"lang":"en","type":"article","venue":"Cell","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":190,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Biotechnology and Biological Sciences Research Council; Office of Science; European Research Council; University of Illinois at Urbana-Champaign; National Institutes of Health; Canada Research Chairs; Deutsche Forschungsgemeinschaft; Office of the Vice Chancellor for Research and Innovation; Alberta Innovates - Technology Futures; Canada Foundation for Innovation; Flinn Foundation; Compute Canada; Arizona State University; University of Illinois System; European Regional Development Fund; U.S. Department of Energy","keywords":"Biology; Phenotype; Energy metabolism; Genetics; Computational biology; Cell biology; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001063528,0.0001235391,0.0001697464,0.00004756786,0.00001648565,0.000005968565,0.0001741222,0.0001398866,0.000221829],"category_scores_gemma":[0.00002354991,0.0001173727,0.00008877874,0.00008417291,0.00002308449,0.000001475463,0.00008643237,0.00004067686,0.0001559601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000388247,"about_ca_system_score_gemma":0.00004906437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001310234,"about_ca_topic_score_gemma":0.000001966871,"domain_scores_codex":[0.999159,0.00009451847,0.0001764419,0.0003010382,0.0000924476,0.0001765125],"domain_scores_gemma":[0.9993477,0.000009869504,0.00006519789,0.000422938,0.00006765508,0.00008667559],"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":[0.00009315918,0.00003711051,0.00004594764,0.00001283716,0.00001614988,0.000002785172,0.00003312726,0.0008677767,0.9959042,0.002099095,0.0007170368,0.0001707531],"study_design_scores_gemma":[0.0002691523,0.0001534724,0.00002387171,0.000002591854,0.00001218213,0.000001531509,0.00001380642,0.00003935618,0.74502,0.00005856096,0.2543025,0.000102964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.617063,0.001301297,0.3643493,0.000035749,0.0007764634,0.0002351675,0.000008672806,0.00001328194,0.01621712],"genre_scores_gemma":[0.9789155,0.00004765892,0.008397353,0.0007053469,0.0001590134,0.00001652923,0.00005227737,0.00002847962,0.01167792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3618524,"threshold_uncertainty_score":0.4786319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161514536377436,"score_gpt":0.2091272641088486,"score_spread":0.1975121187450742,"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."}}