{"id":"W3137885037","doi":"10.1002/bbb.2210","title":"Extracting flavonoid from <i>Ginkgo biloba</i> using lignocellulolytic bacteria <i>Paenarthrobacter sp</i>. and optimized via response surface methodology","year":2021,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Ginkgo biloba and Cashew Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Ginkgo biloba; Flavonoid; Pectinase; Ginkgo; Fermentation; Extraction (chemistry); Response surface methodology; Chemistry; Food science; Cellulase; Botany; Enzyme; Chromatography; Biology; Biochemistry; Antioxidant","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":[0.0002742935,0.0009088009,0.0005247689,0.0003796421,0.0001551003,0.0005202931,0.0002380453,0.000419124,0.0003171264],"category_scores_gemma":[0.0002595868,0.0002265707,0.0007785414,0.0003948618,0.0001767404,0.0003963743,0.0003181327,0.0004329052,0.0002743948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955319,"about_ca_system_score_gemma":0.0002831244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009391704,"about_ca_topic_score_gemma":0.001486699,"domain_scores_codex":[0.9996625,0.00006507842,0.00003484726,0.00006847527,0.0001216117,0.00004757717],"domain_scores_gemma":[0.9999278,0.00001142486,0.00002743899,0.00000514419,0.00001786978,0.00001032083],"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":[0.00001507938,0.00001613129,0.00007483493,0.00003711525,0.000004517649,0.00001222393,0.000003722424,0.0001256362,0.9990861,0.00001104882,0.000008220698,0.000605243],"study_design_scores_gemma":[0.00000733634,0.0001464042,0.002072426,0.000008082544,0.0000207959,0.00005819421,0.0000263435,0.001881471,0.9951704,0.00001902165,0.0005780798,0.00001147768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870296,0.001175613,0.01006157,0.0001347421,0.00002587756,0.0001106066,0.0003984264,0.0001269132,0.0009366773],"genre_scores_gemma":[0.9669052,0.001242321,0.02968623,0.0000651943,0.00001028865,0.000123708,0.0009097758,0.00005935103,0.0009979005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009391704,"threshold_uncertainty_score":0.002144277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06746761283476811,"score_gpt":0.3004100939533339,"score_spread":0.2329424811185658,"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."}}