{"id":"W4402617861","doi":"10.5376/jtsr.2024.14.0015","title":"CRISPR Revolution: Precision Breeding for Enhanced Tea Quality and Disease Resistance","year":2024,"lang":"en","type":"article","venue":"Journal of Tea Science Research","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CRISPR; Resistance (ecology); Biology; Plant disease resistance; Biotechnology; Quality (philosophy); Genetics; Gene; Agronomy; Physics","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":[0.001978222,0.0006577226,0.0009413012,0.0008564522,0.0005717068,0.001972737,0.001007527,0.001109747,0.004398824],"category_scores_gemma":[0.001204439,0.0003947974,0.001082892,0.0007306823,0.0006998842,0.001233521,0.00170131,0.002223778,0.001250708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000858186,"about_ca_system_score_gemma":0.000889977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007500137,"about_ca_topic_score_gemma":0.001206924,"domain_scores_codex":[0.998922,0.0001910714,0.00009341339,0.0002607087,0.0003659822,0.0001669491],"domain_scores_gemma":[0.9992866,0.0001589511,0.0001877484,0.0001613127,0.00009659578,0.0001087773],"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":[0.0001747995,0.00006954338,0.0008728352,0.0004267819,0.00007971013,0.0002577414,0.0001661451,0.001225957,0.9318669,0.008880388,0.001622387,0.05435672],"study_design_scores_gemma":[0.0001532437,0.001151842,0.01009207,0.0002492745,0.0004228675,0.002709009,0.0003168011,0.01261229,0.7754624,0.006957022,0.189671,0.0002022323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3441297,0.02361059,0.5773333,0.005298428,0.001526655,0.0007750105,0.004657594,0.01047723,0.03219156],"genre_scores_gemma":[0.7309313,0.01575244,0.2261912,0.001547933,0.0002646355,0.0004116151,0.004337394,0.001086209,0.01947731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004398824,"threshold_uncertainty_score":0.01471555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08909032958850413,"score_gpt":0.4454763631678737,"score_spread":0.3563860335793696,"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."}}