{"id":"W4413256808","doi":"10.5376/tgmb.2025.15.0005","title":"High-Density Tea Planting: A Case Study in Commercial Tea Gardens","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sowing; Green tea; Tea garden; Camellia sinensis; Horticulture; Biology; Food science","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":[0.0003971631,0.00026661,0.0002207869,0.0004649251,0.003379345,0.0008382258,0.0007385415,0.001087866,0.00201701],"category_scores_gemma":[0.0009514898,0.0002210525,0.0003598981,0.0009320519,0.0008172464,0.0005284388,0.001015835,0.0006575205,0.0002029455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076735,"about_ca_system_score_gemma":0.0007876066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0140261,"about_ca_topic_score_gemma":0.05414199,"domain_scores_codex":[0.9996297,0.0001165584,0.00001531837,0.00005369412,0.00005726272,0.0001273432],"domain_scores_gemma":[0.9989187,0.0003471862,0.0001714434,0.0000682233,0.00005510063,0.0004393129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005176624,0.002410394,0.5439497,0.0003732686,0.0000926842,0.3287919,0.0662653,0.00381931,0.01121955,0.003927496,0.001977838,0.0366548],"study_design_scores_gemma":[0.00007934228,0.001628083,0.4928252,0.0001835038,0.0001071585,0.1882602,0.2740628,0.00923582,0.006297381,0.002428793,0.02475812,0.0001335978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985234,0.00005722177,0.0003169136,0.0001078572,0.000003413053,0.00001283602,0.00003064903,0.000004629174,0.0009429602],"genre_scores_gemma":[0.9982685,0.0001483716,0.0006281141,0.00003034708,0.000005946893,0.000006965643,0.00002569184,0.000004884909,0.000881169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0140261,"threshold_uncertainty_score":0.02788895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747561896274977,"score_gpt":0.2355399701542197,"score_spread":0.1980643511914699,"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."}}