{"id":"W4405884167","doi":"10.5376/jtsr.2024.14.0021","title":"Genomic Insights into Tea Plant Immunity: Identifying Resistance Genes","year":2024,"lang":"en","type":"article","venue":"Journal of Tea Science Research","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gene; Biology; Genetics; Immunity; Plant Immunity; Computational biology; Resistance (ecology); Immune system; Arabidopsis","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":[0.0002033376,0.0003855705,0.000338171,0.0006927156,0.0001812519,0.0004372406,0.0003287679,0.0005893363,0.002483423],"category_scores_gemma":[0.0002104669,0.0002136849,0.0004503862,0.0003180787,0.0002733967,0.0004022658,0.0002661006,0.00125982,0.000782234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003187596,"about_ca_system_score_gemma":0.0002286834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003610575,"about_ca_topic_score_gemma":0.0004722542,"domain_scores_codex":[0.9999195,0.00001552758,0.000006058172,0.00002722544,0.00001480402,0.00001688033],"domain_scores_gemma":[0.9998462,0.00006165503,0.00003201831,0.00001668096,0.00001498089,0.00002832011],"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":[0.00007214122,0.00002725879,0.0002574917,0.00005174226,0.000004494684,0.0000859456,0.00001871971,0.00008950012,0.9946845,0.0005284379,0.00006925973,0.004110487],"study_design_scores_gemma":[0.00007645682,0.0004827448,0.02488229,0.00005506916,0.0001694508,0.001396924,0.0003811696,0.002154345,0.9394295,0.004318888,0.02662769,0.00002548518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914089,0.009874452,0.05821065,0.003948325,0.0002141675,0.0001263135,0.004581133,0.0006683641,0.008287632],"genre_scores_gemma":[0.9613062,0.005246856,0.02331768,0.0009689302,0.00009416003,0.00004481202,0.004501926,0.00009274283,0.004426664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002483423,"threshold_uncertainty_score":0.008307874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06829544975930513,"score_gpt":0.4016434419017376,"score_spread":0.3333479921424325,"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."}}