{"id":"W4200048248","doi":"10.3791/61913","title":"High-Throughput Metabolic Profiling for Model Refinements of Microalgae","year":2021,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tamkeen; York University; Zhejiang University; New York University Abu Dhabi","keywords":"Chlamydomonas reinhardtii; Computational biology; Metabolic network; Biology; Metabolic flux analysis; Phenotype; Model organism; Metabolomics; Flux balance analysis; Cellular metabolism; Metabolic pathway; Organism; Genome; Systems biology; In silico; Bioinformatics; Gene; Genetics; Metabolism; Mutant; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0002461542,0.0001287115,0.0003180531,0.00005751125,0.00003261903,0.00001145133,0.0001179039,0.00008809196,0.0000089198],"category_scores_gemma":[0.0001123193,0.0001154695,0.0001859933,0.00008477439,0.00002191172,0.000007694582,0.00004957616,0.0000576204,4.928892e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001073258,"about_ca_system_score_gemma":0.0001112827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003551276,"about_ca_topic_score_gemma":2.580584e-7,"domain_scores_codex":[0.998978,0.00003497296,0.0005071648,0.0001788587,0.0001430954,0.0001579624],"domain_scores_gemma":[0.9990188,0.000002465467,0.0003321064,0.000187246,0.0004062302,0.00005315682],"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":[0.0002255423,0.0002116184,0.00004199626,0.00003720028,0.0002148738,0.000001049261,0.00006264212,0.0007987761,0.9968335,0.0002895221,0.0008136973,0.0004695832],"study_design_scores_gemma":[0.001871739,0.0001627619,0.00002830495,0.00003201131,0.00006315117,0.00003013876,0.00006300197,0.0001366883,0.9891337,0.00004778906,0.00832192,0.0001088323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95543,0.007046616,0.03667051,0.00004188075,0.0006438671,0.0001178837,0.00002173101,0.000003624635,0.00002385555],"genre_scores_gemma":[0.8389635,0.0008982071,0.1587865,0.00009021505,0.0005677167,0.0000100175,0.00006350097,0.00003020046,0.0005901286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.122116,"threshold_uncertainty_score":0.4708711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322562568758802,"score_gpt":0.3786642622597077,"score_spread":0.3554386365721197,"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."}}