{"id":"W3183679190","doi":"10.3390/molecules26144311","title":"Large-Scale Reassessment of In-Vineyard Smoke-Taint Grapevine Protection Strategies and the Development of Predictive Off-Vine Models","year":2021,"lang":"en","type":"article","venue":"Molecules","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":16,"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; University of British Columbia; Canada Foundation for Innovation; British Columbia Knowledge Development Fund; Universities Space Research Association","keywords":"Vineyard; Chemistry; Ripening; Guaiacol; Food science; Wine; Smoke; Pomace; Horticulture; Biochemistry; Biology; Enzyme; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004758965,0.0004749263,0.0005210166,0.0002098851,0.00021893,0.0007866421,0.0006560364,0.0006233651,0.001264896],"category_scores_gemma":[0.0003240192,0.0002424921,0.0005466049,0.0001502112,0.0002105349,0.0003901149,0.0003887115,0.00129139,0.0004404799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007478352,"about_ca_system_score_gemma":0.0003150167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004644447,"about_ca_topic_score_gemma":0.004336185,"domain_scores_codex":[0.9998431,0.00001513747,0.000007002561,0.00005000209,0.00005523032,0.00002954132],"domain_scores_gemma":[0.9998531,0.00003267228,0.00002445305,0.00001685891,0.00003563613,0.00003722087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002845484,0.000485072,0.005117023,0.0002929849,0.00005735028,0.0001805727,0.0001230957,0.02499115,0.9544687,0.001238145,0.001134151,0.01162718],"study_design_scores_gemma":[0.0000568185,0.002519981,0.02224287,0.00006061567,0.0001309928,0.0002147713,0.0003826365,0.4022251,0.5524829,0.001412523,0.0181863,0.00008435322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737604,0.001688094,0.0183374,0.0001993976,0.0001000218,0.0001276714,0.002528935,0.0004371889,0.00282093],"genre_scores_gemma":[0.9772874,0.001438687,0.01402972,0.00009490729,0.00001154593,0.0001214121,0.003227345,0.0001016909,0.003687314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004644447,"threshold_uncertainty_score":0.009234846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564250523555285,"score_gpt":0.2399623198491977,"score_spread":0.2143198146136449,"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."}}