{"id":"W4385069035","doi":"10.3390/molecules28145536","title":"Co-Fermentation of Agri-Food Residues Using a Co-Culture of Yeasts as a New Bioprocess to Produce 2-Phenylethanol","year":2023,"lang":"en","type":"article","venue":"Molecules","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre National en Électrochimie et en Technologies Environnementales; York University; Institut National de la Recherche Scientifique; Collège Shawinigan; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Ministère de l'Éducation et de l'Enseignement supérieur; Instituto Potosino de Investigación Científica y Tecnológica; University of Warwick; York University; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Bioprocess; Food science; Kluyveromyces marxianus; Kluyveromyces lactis; Chemistry; Fermentation; Bioreactor; Biotechnology; Yeast; Pulp and paper industry; Biology; Saccharomyces cerevisiae; Biochemistry; Engineering","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":[0.0001936931,0.0006567486,0.0004722186,0.0003833018,0.0001513331,0.000740094,0.0002542846,0.000232234,0.0003565411],"category_scores_gemma":[0.0001448566,0.0001602943,0.0006124189,0.0004793585,0.0001181476,0.0003378844,0.0006168346,0.0004839378,0.0003346711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627927,"about_ca_system_score_gemma":0.0002608245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009500653,"about_ca_topic_score_gemma":0.00191063,"domain_scores_codex":[0.9997419,0.00002993844,0.00003621128,0.00006342078,0.00008690687,0.0000416746],"domain_scores_gemma":[0.9999324,0.000006014585,0.00001220212,0.00001055887,0.0000201057,0.00001871339],"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":[0.00007794395,0.000130389,0.0004340127,0.00009165169,0.00002145872,0.0002025022,0.00002822997,0.0002579516,0.994812,0.00006178305,0.00003197666,0.003850154],"study_design_scores_gemma":[0.000007756845,0.0003916689,0.002375941,0.00001728826,0.00005672187,0.0002257942,0.00007301877,0.001857003,0.9930299,0.0000260111,0.00192898,0.000009801393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990872,0.002203172,0.005150092,0.00008552543,0.00007795903,0.00004925896,0.0001806403,0.0000677498,0.001313765],"genre_scores_gemma":[0.985674,0.002086075,0.009395325,0.00002700476,0.00001231572,0.00003124151,0.0003733226,0.00002588156,0.002374834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009500653,"threshold_uncertainty_score":0.00188899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04542897870298578,"score_gpt":0.3102744105021799,"score_spread":0.2648454317991941,"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."}}