{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001037802,0.0004172864,0.0007449163,0.0001112598,0.000335159,0.0001602673,0.00009715238,0.000311592,0.0001598435],"category_scores_gemma":[0.000449862,0.000360871,0.0001003985,0.0004936829,0.0002915431,0.0001883502,0.000223348,0.0003500947,0.00002162999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007072987,"about_ca_system_score_gemma":0.000229497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000227719,"about_ca_topic_score_gemma":0.00000864778,"domain_scores_codex":[0.9970989,0.000353775,0.000581999,0.00120507,0.0002086023,0.0005516452],"domain_scores_gemma":[0.9980217,0.0004562925,0.0002478652,0.0006954998,0.0002434553,0.0003352028],"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":[0.0008280842,0.0001038748,0.005330085,0.00006934114,0.0001070285,0.0001159019,0.0003475646,0.000002249293,0.9835438,0.00004928458,0.0000382692,0.009464541],"study_design_scores_gemma":[0.003083352,0.0002828122,0.02590694,0.0002774454,0.0005753294,0.001115646,0.0008688053,0.0004691516,0.9539944,0.0003960149,0.01227847,0.0007516232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881979,0.005735116,0.0008752799,0.004189054,0.0003701719,0.0003219819,0.0000719571,0.0001304239,0.0001080983],"genre_scores_gemma":[0.7714503,0.000521549,0.2264074,0.0008485971,0.0003445534,0.000006858694,0.0001106209,0.00005289788,0.000257261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2255321,"threshold_uncertainty_score":0.9998843,"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."}}