{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003110993,0.0002942498,0.0005235031,0.0001370401,0.0000670875,0.000010025,0.000272874,0.0004148161,0.00001575391],"category_scores_gemma":[0.00006902096,0.0002618388,0.0001971493,0.0002627328,0.0001438941,0.000007415899,0.0001101602,0.0001391281,0.00001312365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001007725,"about_ca_system_score_gemma":0.00005301937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003849386,"about_ca_topic_score_gemma":0.00002004082,"domain_scores_codex":[0.9981669,0.0002688384,0.0005330137,0.0005634393,0.00009125398,0.0003765923],"domain_scores_gemma":[0.9988721,0.000002619078,0.0002638233,0.0005812899,0.0001806177,0.000099574],"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":[0.00006982563,0.00003813673,0.0007985613,0.00003961138,0.0002868757,0.000002783881,0.0001371424,0.0002077014,0.9912043,0.004256087,0.0001249492,0.00283407],"study_design_scores_gemma":[0.0004369844,0.0001738939,0.001226186,0.0000303623,0.0001061641,0.0001443866,0.0000273243,0.00006689785,0.9126558,0.000102027,0.08470858,0.0003214111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578646,0.01888116,0.01726882,0.00003694028,0.003866833,0.0004273085,0.00001467223,0.00005288835,0.001586792],"genre_scores_gemma":[0.9953316,0.0004388462,0.002987723,0.0000444987,0.0008984198,0.00004675795,0.00008748414,0.00004112397,0.0001234984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08458363,"threshold_uncertainty_score":0.9999834,"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."}}