{"id":"W2508829759","doi":"10.1007/s00203-016-1287-4","title":"Rapid and not culture-dependent assay based on multiplex PCR-SSR analysis for monitoring inoculated yeast strains in industrial wine fermentations","year":2016,"lang":"en","type":"article","venue":"Archives of Microbiology","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Centro para el Desarrollo Tecnológico Industrial; European Commission; Alberta Water Research Institute","keywords":"Multiplex; Wine; Yeast; Multiplex polymerase chain reaction; Biology; Inoculation; Microbial ecology; Microbiology; Fermentation; Yeast in winemaking; Biotechnology; Polymerase chain reaction; Bacteria; Food science; Saccharomyces cerevisiae; Genetics; Gene; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118318,0.001198631,0.001095421,0.000920779,0.0002870212,0.0008238954,0.0007490052,0.0008077603,0.0007912691],"category_scores_gemma":[0.001242323,0.0005488471,0.0006577628,0.0006364038,0.0004100163,0.0007011049,0.0007203316,0.001053641,0.001013073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101582,"about_ca_system_score_gemma":0.0004019069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004163983,"about_ca_topic_score_gemma":0.001018555,"domain_scores_codex":[0.997838,0.0004440249,0.0001518294,0.0006245209,0.0008036864,0.0001380989],"domain_scores_gemma":[0.9989009,0.0003372073,0.0001915041,0.0001077888,0.0003558487,0.0001068498],"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":[0.0001297802,0.00008772413,0.001407382,0.0000491351,0.00001261807,0.00001980735,0.00003494729,0.0000669568,0.9926105,0.00003241885,0.00005024211,0.005498394],"study_design_scores_gemma":[0.00002004042,0.0009129476,0.01087352,0.0000221746,0.0000981533,0.0003130215,0.0001228465,0.00484145,0.9815576,0.0001091872,0.001094939,0.00003418203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7384043,0.00328215,0.2499527,0.000282445,0.0003994029,0.0006285999,0.002883099,0.001504791,0.00266235],"genre_scores_gemma":[0.7391319,0.001709545,0.2500935,0.0002370939,0.0001179171,0.0007514648,0.003018165,0.0001282786,0.004812242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001198631,"threshold_uncertainty_score":0.005914271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05147716273609532,"score_gpt":0.2583130882051137,"score_spread":0.2068359254690184,"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."}}