{"id":"W2441133191","doi":"10.15414/jmbfs.2016.5.6.509-517","title":"EVALUATION OF INHIBITORY MEASURES FOR FOOD SPOILER YEAST CANDIDA KRUSEI DURING FERMENTATION PROCESS BY CHEMICAL, BIOCHEMICAL AND NANOPARTICLE APPROACHES","year":2016,"lang":"en","type":"article","venue":"Journal of Microbiology Biotechnology and Food Sciences","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Kluyveromyces marxianus; Candida krusei; Yeast; Nanoparticle; Fermentation; Chemistry; Nuclear chemistry; Silver nanoparticle; Food science; Nanotechnology; Materials science; Biochemistry; Saccharomyces cerevisiae; Corpus albicans","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002606495,0.0004789328,0.0003262395,0.0004005181,0.0001785581,0.0003161528,0.0002375635,0.0003800282,0.0003957653],"category_scores_gemma":[0.0002614108,0.0001975471,0.0003695343,0.0002985197,0.0001442676,0.0001895744,0.000204379,0.0003083478,0.0001227257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775427,"about_ca_system_score_gemma":0.0001793723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009271402,"about_ca_topic_score_gemma":0.002002049,"domain_scores_codex":[0.9996616,0.00005863707,0.00004338938,0.0000507876,0.0001486225,0.00003700762],"domain_scores_gemma":[0.9997913,0.00003360298,0.00005671816,0.00001180682,0.0000844729,0.00002203111],"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":[0.00008096549,0.00006489642,0.0002813273,0.0002247412,0.00001136636,0.00002907778,0.00002767135,0.0001021018,0.9960285,0.00001508987,0.00002339368,0.003110847],"study_design_scores_gemma":[0.000004909921,0.001147009,0.003281617,0.00001651546,0.00003349612,0.0000805157,0.00005103687,0.0002883353,0.9942166,0.00001025778,0.00086249,0.000007246835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864092,0.00755091,0.003066677,0.0001100012,0.00004279883,0.0001109966,0.0003237897,0.00006046272,0.002325154],"genre_scores_gemma":[0.9827394,0.005970389,0.00844687,0.00006268202,0.00001478643,0.000104295,0.0003997094,0.00001731384,0.002244478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009271402,"threshold_uncertainty_score":0.001843512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03835331074904666,"score_gpt":0.2793861718203337,"score_spread":0.241032861071287,"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."}}