{"id":"W4415721448","doi":"10.5376/tgmb.2025.15.0021","title":"Progress in Breeding of &lt;i&gt;Vitis vinifera&lt;/i&gt; for Fruit Quality Improvement","year":2025,"lang":"","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality management; Quality (philosophy); Selection (genetic algorithm); Genomic selection; Plant breeding; Performance improvement","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001520972,0.0005426337,0.0005655834,0.0007751435,0.000388502,0.0009371954,0.0005303766,0.0002702559,0.002883877],"category_scores_gemma":[0.0003785184,0.0002087634,0.0005933961,0.00065147,0.0002368425,0.0004957944,0.0004443844,0.0008461052,0.0009548577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005102407,"about_ca_system_score_gemma":0.0004587806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00203011,"about_ca_topic_score_gemma":0.002850304,"domain_scores_codex":[0.9996612,0.00005605419,0.00003047933,0.0001418137,0.00007384927,0.00003649398],"domain_scores_gemma":[0.9996847,0.00006225678,0.00005969144,0.00004333675,0.00006902064,0.00008102064],"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":[0.0001825557,0.0001385491,0.009601797,0.000571461,0.00009709644,0.0002117313,0.0003365073,0.0008563098,0.7476048,0.002660628,0.001434405,0.2363042],"study_design_scores_gemma":[0.000192266,0.002783505,0.2323173,0.0005425173,0.001535504,0.003372835,0.0007748497,0.01394269,0.2857848,0.003239007,0.4553289,0.0001858283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7652547,0.03034275,0.159877,0.001606276,0.0005498371,0.0003942344,0.0038286,0.002130502,0.03601616],"genre_scores_gemma":[0.8202007,0.02300721,0.1269488,0.0008072777,0.0002107586,0.0001654883,0.009992369,0.0008127741,0.01785455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002883877,"threshold_uncertainty_score":0.009647548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752837531820155,"score_gpt":0.3162235945953588,"score_spread":0.2786952192771572,"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."}}