{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004697899,0.00006806443,0.0001056752,0.0001958554,0.0003104265,0.0001831012,0.0003131625,0.00003853147,0.000005079873],"category_scores_gemma":[0.004138936,0.00005109431,0.00008366664,0.0003652922,0.0003813296,0.00003764923,0.000132918,0.0001491262,0.000001514054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005010074,"about_ca_system_score_gemma":0.0008372668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000161329,"about_ca_topic_score_gemma":0.000003351146,"domain_scores_codex":[0.9983479,0.00009161492,0.0002529463,0.0002931404,0.0007082933,0.0003060493],"domain_scores_gemma":[0.9985942,0.0001384712,0.00005924396,0.0001646866,0.0006518501,0.0003916119],"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":[0.0003978657,0.0000281877,0.000424619,0.0001151292,0.000006749598,0.00001239648,0.00002192079,0.000004581689,0.9863588,0.0005325893,0.007887742,0.004209483],"study_design_scores_gemma":[0.001840222,0.002892739,0.2025274,0.002933703,0.000109538,0.0001746553,0.001124437,0.001987906,0.5198472,0.02197199,0.2436664,0.0009239321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585422,0.02191381,0.01607988,0.001777779,0.0003492174,0.0002630688,0.0002426606,0.000006750703,0.0008246236],"genre_scores_gemma":[0.9961199,0.001193281,0.001381593,0.00002862026,0.000375665,0.000007008219,0.000003618911,0.00000607318,0.000884239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4665116,"threshold_uncertainty_score":0.4954993,"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."}}