{"id":"W4362716859","doi":"10.1186/s13068-023-02311-5","title":"Autofermentation of alkaline cyanobacterial biomass to enable biorefinery approach","year":2023,"lang":"en","type":"article","venue":"Biotechnology for Biofuels and Bioproducts","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Biomass (ecology); Dewatering; Pulp and paper industry; Alkalinity; Bioenergy; Chemistry; Biorefinery; Lignocellulosic biomass; Environmental science; Environmental chemistry; Biofuel; Waste management; Agronomy; Food science; Fermentation; Organic chemistry; Biology","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":[0.0002139465,0.0005374454,0.0002182521,0.0002646425,0.0001598022,0.0003708305,0.0002300424,0.0002885302,0.000651519],"category_scores_gemma":[0.0001503809,0.00009271119,0.0003157757,0.0003032098,0.0001162242,0.0002469899,0.0003740532,0.0004974247,0.0002633111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003906444,"about_ca_system_score_gemma":0.0002900397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008741703,"about_ca_topic_score_gemma":0.001968591,"domain_scores_codex":[0.9998665,0.00001482539,0.000009253527,0.00002438729,0.00005826864,0.00002675504],"domain_scores_gemma":[0.9999273,0.00001028625,0.00001926389,0.000008880547,0.00002169273,0.00001253679],"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":[0.00001122438,0.0000180564,0.0001442889,0.00003641514,0.000002986751,0.00002336807,0.00000697098,0.00008385973,0.9979612,0.00004156622,0.00001634695,0.001653786],"study_design_scores_gemma":[0.000003726311,0.0001146164,0.001781468,0.000007920095,0.00000901142,0.00006347481,0.00001378451,0.0009044284,0.9958315,0.0000320066,0.001234569,0.00000358086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875402,0.0007924266,0.009144238,0.0001103096,0.00003232337,0.00007463462,0.0002322664,0.0001167,0.001956785],"genre_scores_gemma":[0.9891161,0.0006181173,0.008863779,0.00004927885,0.000007897635,0.00004203201,0.0002929746,0.0000221212,0.0009876756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008741703,"threshold_uncertainty_score":0.00283438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471205807517232,"score_gpt":0.2253762346181901,"score_spread":0.2106641765430178,"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."}}