{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006268316,0.0006116023,0.0006516175,0.0004933858,0.0008984429,0.001784815,0.001338149,0.001382316,0.005180214],"category_scores_gemma":[0.001669717,0.0004338256,0.0005853017,0.000381968,0.003289951,0.002816087,0.001173246,0.001950107,0.001117621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007226149,"about_ca_system_score_gemma":0.0005055385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000288105,"about_ca_topic_score_gemma":0.0003340903,"domain_scores_codex":[0.9997407,0.00008064504,0.00001447881,0.00005408931,0.00007808406,0.00003207238],"domain_scores_gemma":[0.9996539,0.0001477829,0.00002578065,0.00008816479,0.00004420872,0.00004022368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001725856,0.000009825661,0.00007517137,0.00003740009,0.000004649758,0.00002680862,0.00004712609,0.003782888,0.003489378,0.9854122,0.0006728384,0.006424456],"study_design_scores_gemma":[0.0000129843,0.00001819295,0.00004452623,0.00000684296,0.000004342517,0.00003700113,0.00002053099,0.01248425,0.002165821,0.9801534,0.005043386,0.000008634735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07031889,0.002303824,0.8624718,0.005282831,0.001111093,0.000155067,0.0002916099,0.0009213042,0.05714353],"genre_scores_gemma":[0.7509344,0.002574116,0.2249198,0.00128918,0.0002913755,0.0006493076,0.0002446994,0.0005221139,0.01857504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005180214,"threshold_uncertainty_score":0.01732951,"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."}}