{"id":"W4388493329","doi":"10.20870/oeno-one.2023.57.4.7719","title":"Impact of cluster thinning and harvest date on berry volatile composition and sensory profile of &lt;i&gt;Vitis&lt;/i&gt; sp. Seyval blanc and Vandal-Cliche","year":2023,"lang":"en","type":"article","venue":"OENO One","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Berry; Thinning; Viticulture; Growing season; Horticulture; Cultivar; Cliché; Ripening; Botany; Biology; Wine; Food science; Ecology","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":[0.0001898249,0.0002442719,0.0004140447,0.0002296148,0.0003072409,0.0004847555,0.0002196043,0.0001726152,0.0008324732],"category_scores_gemma":[0.0002155847,0.0001746307,0.0003399421,0.0002185778,0.0001792116,0.0003106626,0.000342447,0.0005081001,0.0001664338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005301756,"about_ca_system_score_gemma":0.0002780485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040473,"about_ca_topic_score_gemma":0.02633699,"domain_scores_codex":[0.9998419,0.00001441358,0.000008950969,0.00006183507,0.00004032605,0.00003254786],"domain_scores_gemma":[0.9997588,0.00004008735,0.00005481983,0.00002502153,0.00005204179,0.00006914857],"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":[0.001609833,0.0001534072,0.04636229,0.0001024919,0.00011509,0.0002267426,0.0002613659,0.0003505544,0.9428785,0.00004810197,0.0002145047,0.007677121],"study_design_scores_gemma":[0.00001274705,0.0006397924,0.9592994,0.000007310729,0.00005702124,0.0001031304,0.0003645055,0.0005304004,0.0375329,0.00001904592,0.001416528,0.00001727464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993938,0.00008993063,0.00006060952,0.000006218097,0.000003136637,0.000005392869,0.0001596637,0.000008103032,0.0002731811],"genre_scores_gemma":[0.9970041,0.0001040141,0.0003528869,0.00003110104,0.000002106645,0.00001300142,0.001115685,0.00002086027,0.001356197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01040473,"threshold_uncertainty_score":0.02068835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03796738290435673,"score_gpt":0.2860221802848807,"score_spread":0.248054797380524,"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."}}