{"id":"W4376121145","doi":"10.1007/s00449-023-02876-3","title":"Methanol bioconversion in Methylotuvimicrobium buryatense 5GB1C through self-cycling fermentation","year":2023,"lang":"en","type":"article","venue":"Bioprocess and Biosystems Engineering","topic":"Microbial metabolism and enzyme function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Alberta Innovates; Canada Foundation for Innovation","keywords":"Bioconversion; Biomass (ecology); Bioreactor; Industrial and production engineering; Methanol; Fermentation; Bioproducts; Pulp and paper industry; Environmental science; Bioremediation; Sequencing batch reactor; Biochemical engineering; Biofuel; Waste management; Biotechnology; Chemistry; Biology; Environmental engineering; Effluent; Contamination; Ecology; Engineering; Food science; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001935303,0.0003496974,0.0003582746,0.0002010981,0.0002082781,0.0003260821,0.0003264264,0.0002855335,0.0004964723],"category_scores_gemma":[0.0001690732,0.0001199495,0.000189565,0.0003079001,0.0001213961,0.0002181014,0.0004260287,0.0004311315,0.0002649679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003646511,"about_ca_system_score_gemma":0.000386842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004236207,"about_ca_topic_score_gemma":0.005458806,"domain_scores_codex":[0.9998785,0.00001349181,0.00001170725,0.00002001676,0.00004128197,0.00003501194],"domain_scores_gemma":[0.9999323,0.00000730478,0.00001140123,0.00001041252,0.00002134262,0.00001725879],"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":[0.000123562,0.00005108104,0.0002066708,0.00002453421,0.000003620162,0.00003953246,0.00002460663,0.0001507019,0.9977672,0.00004028576,0.00002090635,0.001547345],"study_design_scores_gemma":[0.00001193883,0.0003085216,0.002176404,0.000007414647,0.00001384119,0.00005421504,0.00006692978,0.001398766,0.9952378,0.00002162112,0.0006954683,0.000007007124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990153,0.0001249562,0.0003633066,0.00002683592,0.000008473191,0.000009522905,0.0000752718,0.00001834844,0.0003578448],"genre_scores_gemma":[0.9973409,0.0001220524,0.001046436,0.000008563503,0.000001733683,0.00001061068,0.0003008455,0.0000130428,0.001155781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004236207,"threshold_uncertainty_score":0.00842315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007357078869071648,"score_gpt":0.2178697947785679,"score_spread":0.2105127159094962,"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."}}