{"id":"W4295993434","doi":"10.3168/jds.2022-21949","title":"Quantitative PCR reveals the frequency and distribution of 3 indigenous yeast species across a range of specialty cheeses","year":2022,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Novalait; Université Laval","keywords":"Pasteurization; Food science; Yeast; Microorganism; Biology; Raw milk; Bacteria; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266091,0.0000485338,0.0001566678,0.00001833989,0.0005067806,0.00003015132,0.0003257197,0.00001068565,0.000166294],"category_scores_gemma":[0.000199063,0.00001723757,0.00007663461,0.0008401599,0.0005293346,0.0002169546,0.00007330492,0.00009643992,4.510195e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003659366,"about_ca_system_score_gemma":0.00003320373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006157492,"about_ca_topic_score_gemma":0.0001072602,"domain_scores_codex":[0.998847,0.0001153759,0.0003176086,0.00008727391,0.0005138014,0.0001189206],"domain_scores_gemma":[0.9990864,0.0001224643,0.000507395,0.00003460075,0.0002054256,0.00004365068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000108933,0.0001414544,0.1315301,0.000007890714,0.0000249605,0.000006568831,0.007716683,0.00007049434,0.854844,0.00147655,0.0001201232,0.00395234],"study_design_scores_gemma":[0.00009856141,0.0005256743,0.9735841,0.000008844886,0.00001374644,0.00002600567,0.02026313,0.00001452643,0.004581961,0.000578686,0.0002628147,0.0000420028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988635,0.0001860753,0.000005820353,0.0004649489,0.00007797281,0.00005942754,0.0002065382,0.000001437809,0.0001342933],"genre_scores_gemma":[0.999737,0.00005166904,0.0000536723,0.00003867264,0.00003801937,7.073414e-7,0.000003147857,2.0278e-7,0.00007691509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.850262,"threshold_uncertainty_score":0.3897798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560272303829152,"score_gpt":0.287403923861375,"score_spread":0.2418012008230835,"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."}}