{"id":"W4386127643","doi":"10.11159/icepr23.110","title":"Biotransformation of Brewing By-Products to Reduce the Current Food Waste And Relieve Associated Environmental Pollution","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Brewing; Biotransformation; Pollution; Environmental science; Environmental pollution; Waste management; Environmental protection; Engineering; Chemistry; Food science; Biology; Ecology; Fermentation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002059343,0.0001034442,0.0001322074,0.00003391343,0.0001439678,0.00001933415,0.0004134181,0.00008365251,0.000002178772],"category_scores_gemma":[0.0002546912,0.00003489721,0.00003474672,0.0007850738,0.0002072911,0.00008309857,0.0001857666,0.0002001774,0.000002001964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001976002,"about_ca_system_score_gemma":0.000003915633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009437116,"about_ca_topic_score_gemma":0.00001353997,"domain_scores_codex":[0.9992869,0.000008804916,0.0002012156,0.0001783446,0.0001519074,0.0001728463],"domain_scores_gemma":[0.999666,0.00005829445,0.0001946874,0.00004482482,0.00001975344,0.00001641593],"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":[0.00002840039,0.00002895241,0.001043786,0.00001177614,0.00001517566,1.438233e-8,0.00006086556,0.00000188093,0.7473585,0.0007505491,0.009502044,0.241198],"study_design_scores_gemma":[0.0001192245,0.0004607181,0.01007283,0.0001537159,0.000013823,8.181744e-7,0.002490334,0.00002551707,0.9767911,0.001872783,0.007894329,0.0001048222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500325,0.0002332875,4.558011e-8,0.04903249,0.0001416124,0.0002849877,0.00004494289,0.0001195445,0.000110526],"genre_scores_gemma":[0.9994608,0.0001301655,0.000007786141,0.00004378998,0.00002136375,0.00001186078,0.000005600763,8.957091e-7,0.0003177474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2410932,"threshold_uncertainty_score":0.1423067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416796360241944,"score_gpt":0.2229232837847101,"score_spread":0.1987553201822907,"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."}}