{"id":"W1601860521","doi":"10.1002/elsc.201100102","title":"Improved xylanase production using apple pomace waste by <i><scp>A</scp>spergillus niger</i> in koji fermentation","year":2012,"lang":"en","type":"article","venue":"Engineering in Life Sciences","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Institut National de la Recherche Scientifique","funders":"","keywords":"Pomace; Xylanase; Fermentation; Food science; Production (economics); Aspergillus niger; Chemistry; Pulp and paper industry; Biotechnology; Biology; Biochemistry; Engineering; Enzyme","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000591984,0.000170272,0.0001405645,0.000302797,0.00006968237,0.00003558886,0.0001382008,0.00008299641,0.000007165801],"category_scores_gemma":[0.0001385177,0.0001709348,0.00002668652,0.0008961737,0.00005342032,0.0007359639,0.00002774045,0.0001871869,0.00001025412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508946,"about_ca_system_score_gemma":0.00001981083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006796165,"about_ca_topic_score_gemma":0.000004270572,"domain_scores_codex":[0.9987892,0.0000210128,0.0002537366,0.0002645387,0.0002073348,0.00046418],"domain_scores_gemma":[0.9996883,0.00002414864,0.00003533946,0.0001224888,0.00001344004,0.0001163259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000253949,0.00005764072,0.01307193,0.000176779,0.000006915179,6.756928e-7,0.001190474,0.3522832,0.630008,0.00001513829,0.002833237,0.0003534466],"study_design_scores_gemma":[0.0005785179,0.00005409849,0.00388199,0.00008437466,0.000007975924,0.00001639989,0.002733765,0.6314714,0.3541692,0.000005575562,0.006701352,0.0002953791],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995268,0.00138536,0.0009716373,0.00006722898,0.001763078,0.0002338387,0.000002788624,0.0001745704,0.0001335133],"genre_scores_gemma":[0.9979455,0.0001075803,0.001434,0.00002666958,0.0003466617,0.00001578476,0.000008525572,0.00001892969,0.00009638906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2791882,"threshold_uncertainty_score":0.6970519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333352110424588,"score_gpt":0.2228922462830325,"score_spread":0.2095587251787866,"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."}}