{"id":"W2171911221","doi":"10.1038/msb.2011.52","title":"Metabolic network reconstruction of Chlamydomonas offers insight into light‐driven algal metabolism","year":2011,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":298,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Science; New York University Abu Dhabi; Biological and Environmental Research; Jane Coffin Childs Memorial Fund for Medical Research; York University; U.S. Department of Energy; National Science Foundation","keywords":"Biology; Metabolic network; Chlamydomonas reinhardtii; Chlamydomonas; Computational biology; Systems biology; Model organism; Phototaxis; Metabolic flux analysis; Metabolomics; Metabolic engineering; Flux balance analysis; Organism; In silico; Bioinformatics; Metabolism; Genetics; Gene","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":[0.0001505004,0.0003499967,0.0002015613,0.0003552233,0.0002677635,0.000427681,0.000298042,0.0002316628,0.0005212057],"category_scores_gemma":[0.0005087771,0.0001678823,0.0005841444,0.0003874109,0.0001475204,0.0003617373,0.0002473206,0.0003134804,0.0001186268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008394039,"about_ca_system_score_gemma":0.0008199368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.017348,"about_ca_topic_score_gemma":0.01433305,"domain_scores_codex":[0.9999452,0.00001175414,0.000002989834,0.00001947093,0.00001137366,0.000009341063],"domain_scores_gemma":[0.9998659,0.00005562931,0.00001769087,0.00002517086,0.00002151816,0.00001411163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001499095,0.00004304781,0.01217347,0.00008610747,0.00006302257,0.0001345819,0.00006952439,0.8684858,0.09905896,0.005611104,0.0002307729,0.01389364],"study_design_scores_gemma":[0.000005690935,0.00002069202,0.004395932,0.000004081174,0.00001740451,0.00002787931,0.00002461225,0.9809654,0.01101513,0.002411969,0.001100908,0.00001033025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990343,0.000281003,0.09614555,0.0001556161,0.00001237344,0.00001434415,0.002399137,0.0004104658,0.001547119],"genre_scores_gemma":[0.9614936,0.000249347,0.03554535,0.000009409055,0.000001672356,0.0000152773,0.002292598,0.00003185046,0.0003608291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.017348,"threshold_uncertainty_score":0.03449404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00796307899479025,"score_gpt":0.1996603022813012,"score_spread":0.191697223286511,"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."}}