{"id":"W3082403693","doi":"10.3389/fgene.2020.00908","title":"Characterization of Sub-Regional Variation in Saccharomyces Populations and Grape Phenolic Composition in Pinot Noir Vineyards of a Canadian Wine Region","year":2020,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Auckland","keywords":"Vineyard; Wine; Wine grape; Saccharomyces cerevisiae; Biology; Yeast; Terroir; Population; Yeast in winemaking; Winery; Saccharomyces; Botany; Strain (injury); Food science; Horticulture; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002176716,0.0003078376,0.0002940962,0.001389333,0.001246168,0.0007924523,0.0004642073,0.0001793635,0.0006314234],"category_scores_gemma":[0.0003683499,0.0001808195,0.0002892464,0.00133319,0.0003376385,0.0001228955,0.0003617645,0.0002092174,0.00008935078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004592983,"about_ca_system_score_gemma":0.002871261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9138936,"about_ca_topic_score_gemma":0.9750221,"domain_scores_codex":[0.9996223,0.00001747688,0.00001323996,0.0001412218,0.0001105292,0.00009509578],"domain_scores_gemma":[0.9996846,0.00001453433,0.00004591271,0.00001451654,0.0001672631,0.00007317838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001869103,0.00003545728,0.9424379,0.0000523276,0.0001356413,0.0003365526,0.003551669,0.0001861581,0.04090717,0.0001314469,0.0003635475,0.01167523],"study_design_scores_gemma":[7.42217e-7,0.000007081301,0.9985233,0.000003844922,0.00000900244,0.0000420812,0.0007097941,0.00005970932,0.0002085784,0.000002864058,0.000429777,0.000003231927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982772,0.0001880723,0.0001092372,0.00001335401,0.00000244502,0.0000148543,0.0004320483,0.000004109475,0.0009586512],"genre_scores_gemma":[0.9979283,0.0001581252,0.0002663675,0.00001797262,0.00000128869,0.000007483133,0.0008154749,0.000005722632,0.0007992669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08610636,"threshold_uncertainty_score":0.1732269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797751160776363,"score_gpt":0.2060162597821334,"score_spread":0.1680387481743698,"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."}}