{"id":"W4242325482","doi":"10.20870/oeno-one....1067","title":"Modeling grape quality by multivariate analysis of viticulture practices, soil and climate","year":2020,"lang":"en","type":"article","venue":"OENO One","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Viticulture; Pruning; Vine; Partial least squares regression; Mathematics; Malic acid; Multivariate statistics; Environmental science; Vitis vinifera; Terroir; Regression analysis; Agriculture; Quality (philosophy); Statistics; Agronomy; Horticulture; Geography; Wine; Biology; Food science; Physics","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":[0.0008810171,0.0006752657,0.0004196133,0.0005774876,0.0001993876,0.0009246094,0.0004979299,0.0003386094,0.001385913],"category_scores_gemma":[0.001392064,0.0002560855,0.001022826,0.0005123651,0.0001889352,0.0003448364,0.0003673901,0.0003724892,0.0002679821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004978502,"about_ca_system_score_gemma":0.0005940891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01711795,"about_ca_topic_score_gemma":0.01465444,"domain_scores_codex":[0.9996551,0.0001541298,0.00001444876,0.0001087396,0.00003180739,0.0000357207],"domain_scores_gemma":[0.999252,0.0004866121,0.0001004808,0.00005206882,0.00006568358,0.00004306443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002392115,0.0003111751,0.2444326,0.00006808048,0.0005130455,0.00005951896,0.00008221266,0.7189397,0.003844355,0.0007822214,0.0004521571,0.03027575],"study_design_scores_gemma":[0.000009847235,0.0001026847,0.04127214,0.000005639303,0.00005077822,0.00002300104,0.00003317311,0.9572624,0.0004761601,0.000372431,0.0003811673,0.00001062014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322473,0.0002002073,0.06532841,0.000081816,0.00001599908,0.00004221157,0.001068767,0.000277338,0.0007379871],"genre_scores_gemma":[0.9871858,0.00009693269,0.01085139,0.000008119093,0.000007034515,0.0000380928,0.0009120245,0.00002325925,0.0008772995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01711795,"threshold_uncertainty_score":0.03403664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213986637388365,"score_gpt":0.3485482483490758,"score_spread":0.2271495846102393,"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."}}