{"id":"W3211595198","doi":"10.1002/jsfa.11635","title":"Applied <scp>GA<sub>5</sub></scp>, <scp>GA<sub>4</sub>,</scp> and <scp>GA<sub>4/7</sub></scp> increase berry number per bunch, yield, and grape quality for winemaking in <scp><i>Vitis vinifera</i> L. cv. Malbec</scp>","year":2021,"lang":"en","type":"article","venue":"Journal of the Science of Food and Agriculture","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fondo para la Investigación Científica y Tecnológica; Universidad Nacional de Cuyo","keywords":"Berry; Gibberellin; Horticulture; Veraison; Chemistry; Yield (engineering); Winemaking; Powdery mildew; Sugar; 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":[0.0001102398,0.0003726358,0.0003262298,0.0002397929,0.0002531025,0.00033965,0.000394874,0.0002775746,0.002355808],"category_scores_gemma":[0.00008157601,0.0001518932,0.0002088817,0.0001697208,0.0001924846,0.0001662736,0.0001728069,0.0007339088,0.0002293984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609868,"about_ca_system_score_gemma":0.0005528074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03039187,"about_ca_topic_score_gemma":0.05934745,"domain_scores_codex":[0.9998678,0.00001344888,0.000007670357,0.00004445501,0.00003688642,0.00002977355],"domain_scores_gemma":[0.9997655,0.00003778672,0.00003253225,0.00001771131,0.00005289623,0.00009365656],"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":[0.0001648316,0.00004541572,0.0004889225,0.00004572999,0.000007467273,0.00002510834,0.00001580168,0.00006577022,0.9980799,0.00001322401,0.00009349554,0.0009543874],"study_design_scores_gemma":[0.00005360109,0.002054409,0.1404968,0.0000236297,0.00008249911,0.0001203263,0.0002481266,0.00182831,0.8494756,0.00004366757,0.005545611,0.00002748249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959246,0.0007188835,0.0005628848,0.00006823178,0.00002584127,0.00004996955,0.0007416237,0.0000835335,0.00182437],"genre_scores_gemma":[0.9873008,0.0003342435,0.00098273,0.0001174313,0.000007834229,0.00005432917,0.00104254,0.00003391827,0.01012618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03039187,"threshold_uncertainty_score":0.06042993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074263639621676,"score_gpt":0.2485724950235257,"score_spread":0.2278298586273089,"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."}}