{"id":"W2036230910","doi":"10.4155/bfs.11.120","title":"‘Omics’ technologies and systems biology for engineering<i>Saccharomyces cerevisiae</i>strains for lignocellulosic bioethanol production","year":2011,"lang":"en","type":"article","venue":"Biofuels","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Lignocellulosic biomass; Saccharomyces cerevisiae; Metabolic engineering; Biofuel; Biochemical engineering; Biotechnology; Fermentation; Cellulase; Biomass (ecology); Pentose; Systems biology; Biology; Computational biology; Yeast; Biochemistry; Engineering; Cellulose; Gene; Agronomy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002803844,0.0009462062,0.001224521,0.001514558,0.0006397933,0.002751448,0.0006624906,0.0006726345,0.001375109],"category_scores_gemma":[0.001830658,0.000483761,0.001371515,0.001503113,0.0008188336,0.002247066,0.001130372,0.001768964,0.000727444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115656,"about_ca_system_score_gemma":0.001242573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120085,"about_ca_topic_score_gemma":0.001724597,"domain_scores_codex":[0.9994069,0.0002568039,0.00007023729,0.00009970762,0.0001310952,0.00003522691],"domain_scores_gemma":[0.9990746,0.0003752535,0.0001464106,0.0002364774,0.0001048667,0.00006235137],"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":[0.0005606018,0.0003312734,0.009588704,0.005000889,0.000880845,0.0007335176,0.0006858557,0.01977136,0.558276,0.117116,0.009099829,0.2779552],"study_design_scores_gemma":[0.0001913636,0.000879636,0.02403342,0.001484885,0.001040459,0.00178479,0.0009703086,0.0916422,0.3038852,0.2494534,0.3243258,0.0003085477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06461736,0.02307868,0.8877538,0.006514833,0.0009116886,0.0003907916,0.00635971,0.002400653,0.007972418],"genre_scores_gemma":[0.1560577,0.02271952,0.8074535,0.00173929,0.0004044918,0.0005776156,0.009238787,0.000241775,0.001567378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002803844,"threshold_uncertainty_score":0.01482832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742796050044537,"score_gpt":0.2251303792466356,"score_spread":0.1877024187461903,"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."}}