{"id":"W2622914373","doi":"","title":"Expanding the Capabilities of Constraint-based Metabolic Models for Biotechnology Purposes","year":2013,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biotechnology; Constraint (computer-aided design); Biochemical engineering; Computational biology; Metabolic engineering; Computer science; Engineering; Data science; Biology; Genetics; Mechanical engineering; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00113599,0.001537189,0.001251996,0.0007293987,0.0006974576,0.001818009,0.001957069,0.001797561,0.00338959],"category_scores_gemma":[0.004779607,0.0008186334,0.001764111,0.001360072,0.0008371554,0.001423078,0.001502858,0.001741949,0.000861792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352663,"about_ca_system_score_gemma":0.002407214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02413137,"about_ca_topic_score_gemma":0.01571236,"domain_scores_codex":[0.9996192,0.0001839258,0.00002220172,0.00004776387,0.000101034,0.00002576773],"domain_scores_gemma":[0.9980206,0.001467277,0.0001281991,0.000149386,0.0001657136,0.00006875464],"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":[0.00001539463,0.00001423306,0.0002151924,0.0000508165,0.00002132566,0.00003097124,0.00001411632,0.9815955,0.0004463286,0.01337648,0.0003017644,0.003917834],"study_design_scores_gemma":[0.000005936903,0.000004175464,0.00002683187,0.000007650351,0.000003871707,0.00000359518,0.00000318066,0.9929646,0.0001136348,0.005286672,0.00157491,0.0000048439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02911014,0.001783641,0.9424165,0.001528972,0.0001519981,0.0001298261,0.001465803,0.0009865175,0.02242663],"genre_scores_gemma":[0.5175821,0.005800213,0.4659123,0.0004935296,0.000200632,0.001109253,0.002001362,0.0006085758,0.006291948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02413137,"threshold_uncertainty_score":0.0479818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003335523173874742,"score_gpt":0.1568807732556847,"score_spread":0.1535452500818099,"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."}}