{"id":"W4386485114","doi":"10.3390/fermentation9090813","title":"A Review of Liquid and Gaseous Biofuels from Advanced Microbial Fermentation Processes","year":2023,"lang":"en","type":"review","venue":"Fermentation","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Lakehead University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biofuel; Biohydrogen; Bioprocess; Biochemical engineering; Biorefinery; Biodiesel; Bioproduction; Biomass (ecology); Biotechnology; Lignocellulosic biomass; Fermentation; Bioconversion; Anaerobic digestion; Commodity chemicals; Pulp and paper industry; Waste management; Chemistry; Engineering; Methane; Hydrogen production; Food science; Biology; Agronomy; Biochemistry; Catalysis","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":[0.00009792981,0.0002653575,0.00065926,0.0001524678,0.00003652785,0.00001748072,0.00008846629,0.0001468695,0.00009014596],"category_scores_gemma":[0.00003611525,0.0002436132,0.000100097,0.0004226388,0.00003322099,0.0001551586,0.00002894006,0.0001234195,0.00009109361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009691615,"about_ca_system_score_gemma":0.00006330584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001076481,"about_ca_topic_score_gemma":0.000001721841,"domain_scores_codex":[0.9988192,0.00005307763,0.0005673426,0.0002965707,0.000130309,0.0001335044],"domain_scores_gemma":[0.9994708,0.00002797149,0.0002348303,0.0001531497,0.0000680634,0.00004519368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001304249,0.00001778361,4.21267e-7,0.5825452,0.00009763216,0.000001382303,0.0000848375,0.000001606612,0.002079351,8.093339e-7,0.001420449,0.4137375],"study_design_scores_gemma":[0.0004371027,0.0001490714,0.000009785731,0.1811798,0.0009092736,0.00001702716,0.00007351936,0.000007894763,0.003626455,0.00003474525,0.8130422,0.0005130957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006880678,0.9971113,0.00002625245,0.00002371412,0.0005531862,0.00110146,0.0002629021,0.0002002012,0.0000329308],"genre_scores_gemma":[0.00002679645,0.9967618,0.0002706223,0.00006795191,0.0001271276,0.0001087274,0.002487266,0.00005360832,0.00009608301],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8116218,"threshold_uncertainty_score":0.9934258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03484971193591276,"score_gpt":0.3052523762935072,"score_spread":0.2704026643575945,"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."}}