{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002413213,0.0001686278,0.0001682302,0.0001449991,0.0000529386,0.00002843622,0.00007497393,0.0001604564,0.000002553831],"category_scores_gemma":[0.00002568736,0.0001591882,0.00004037617,0.0003865462,0.00001046565,0.00001737367,0.00006479146,0.00006522685,0.00001447761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001581955,"about_ca_system_score_gemma":0.00001533545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009485901,"about_ca_topic_score_gemma":0.000007505662,"domain_scores_codex":[0.9990875,0.00001981275,0.0002271323,0.00033591,0.00007494054,0.0002547402],"domain_scores_gemma":[0.9997323,0.000006166841,0.00005377527,0.0001262285,0.00003661819,0.00004492493],"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":[0.0000192918,0.00001266507,0.0003125033,0.000306908,0.00002257343,0.000003069023,0.0001648819,0.0002412988,0.9983441,0.00002784373,0.0002808705,0.0002640495],"study_design_scores_gemma":[0.0006027433,0.00005667393,0.001666279,0.00009370743,0.00001965913,0.00001914006,0.0002813147,0.001197506,0.9794449,0.000005039586,0.0163507,0.0002623733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969032,0.001309573,0.0007506101,0.0000544432,0.0006134937,0.0002105859,0.00002109952,0.0001056854,0.0000313539],"genre_scores_gemma":[0.9978606,0.0009974806,0.0005454005,0.00003890377,0.0002493297,0.00002666256,0.0001075512,0.00002702698,0.0001470175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01889918,"threshold_uncertainty_score":0.6491507,"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."}}