{"id":"W1580656898","doi":"10.1111/ijfs.12194","title":"Influence of aeration and agitation modes on solid‐state fermentation of apple pomace waste by <i><scp>P</scp>hanerochaete chrysosporium</i> to produce ligninolytic enzymes and co‐extract polyphenols","year":2013,"lang":"en","type":"article","venue":"International Journal of Food Science & Technology","topic":"Enzyme-mediated dye degradation","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Chemistry; Pomace; Polyphenol; Gallic acid; Fermentation; Solid-state fermentation; Food science; Laccase; Aeration; Manganese peroxidase; Extraction (chemistry); Bioreactor; Chromatography; Enzyme; Organic chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004032148,0.000125922,0.000191835,0.0003443865,0.00008170806,0.00007869764,0.0004514503,0.00007805407,0.000002407927],"category_scores_gemma":[0.000797069,0.00006963156,0.00002455548,0.0006806097,0.0003576275,0.000891046,0.00006938453,0.0001393592,0.00000253169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005825398,"about_ca_system_score_gemma":0.00004232211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003934828,"about_ca_topic_score_gemma":0.00002507891,"domain_scores_codex":[0.9983605,0.00002967965,0.0005139867,0.0002576417,0.0006503645,0.0001878859],"domain_scores_gemma":[0.9977891,0.0001512635,0.0006551097,0.00005997408,0.001260797,0.00008370012],"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":[0.00001694945,0.00006476256,0.002192814,0.000004775655,0.00001609101,8.206832e-7,0.0003579812,0.001269562,0.9845274,0.0003748853,0.000170031,0.01100393],"study_design_scores_gemma":[0.0002176709,0.001509703,0.01741537,0.00007374162,0.000007744614,0.0000338561,0.001525466,0.0004678762,0.9767048,0.001947158,0.00003658165,0.00005998247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969122,0.0001992469,0.0001398905,0.002308736,0.00007302663,0.0002783726,0.00003951787,0.00001774676,0.00003130483],"genre_scores_gemma":[0.9992961,0.0001125914,0.0003422664,0.0001583073,0.00003951448,0.00001303529,0.00001220682,0.000001665888,0.00002434065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01522256,"threshold_uncertainty_score":0.2839493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007936440423376875,"score_gpt":0.2447615523419071,"score_spread":0.2368251119185303,"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."}}