{"id":"W7066553574","doi":"","title":"Hard Pressed to Find A Difference: Evaluating the total tannin content of Cabernet franc L cv. wines, made using pre- and post-fermentation pressing treatments","year":2021,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tannin; Vineyard; Pressing; Wine; Aging of wine; Precipitation; Cellulose; Proanthocyanidin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687388,0.0003382562,0.0002432547,0.0004243861,0.0005970456,0.000561181,0.0002018063,0.0003009723,0.003034064],"category_scores_gemma":[0.0001766572,0.000195422,0.0002627574,0.0003289651,0.0002032507,0.0002034563,0.0002375392,0.0003381857,0.0005388884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009150099,"about_ca_system_score_gemma":0.0002601153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0722434,"about_ca_topic_score_gemma":0.2313479,"domain_scores_codex":[0.9998478,0.000009363975,0.000008110454,0.00006107505,0.00005515651,0.00001851307],"domain_scores_gemma":[0.9997987,0.00001943314,0.00003733559,0.00001628302,0.00007547862,0.00005282726],"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":[0.001522088,0.000288211,0.04519257,0.0001057369,0.00004590478,0.000278139,0.000570775,0.0001016783,0.9416662,0.00003518258,0.0004321694,0.009761331],"study_design_scores_gemma":[0.00001219948,0.0008027112,0.9221893,0.00001119778,0.00003526107,0.0001389401,0.0003938052,0.0002626,0.07302854,0.00001203146,0.003098397,0.00001513245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974758,0.00008133677,0.0001816101,0.00001746516,0.000007481438,0.00002380684,0.0007608645,0.00001874691,0.00143285],"genre_scores_gemma":[0.9670771,0.0001452378,0.002431967,0.00009724771,0.0000051569,0.00005616143,0.004187238,0.00007042099,0.02592942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0722434,"threshold_uncertainty_score":0.1436458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03636285684946121,"score_gpt":0.2483555812998039,"score_spread":0.2119927244503427,"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."}}