{"id":"W4413256812","doi":"10.5376/tgmb.2025.15.0003","title":"Harnessing Genetic Diversity for Kiwifruit Breeding: Opportunities and Challenges","year":2025,"lang":"en","type":"article","venue":"Tree Genetics and Molecular Breeding","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic diversity; Diversity (politics); Biology; Evolutionary biology; Geography; Biotechnology; Data science; Computer science; Sociology; Anthropology; Demography","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":[0.00008692483,0.0001085987,0.0001415858,0.00001742865,0.0005721467,0.00003815582,0.00008167545,0.000067734,0.000002759631],"category_scores_gemma":[0.0000188447,0.0000559767,0.00003349593,0.00005142884,0.00009718179,0.00002995924,0.000281069,0.00003895299,1.809843e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000439029,"about_ca_system_score_gemma":0.000003784467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001061643,"about_ca_topic_score_gemma":0.00004653901,"domain_scores_codex":[0.9994329,0.00001634327,0.0001002931,0.0002261893,0.0000613706,0.0001628974],"domain_scores_gemma":[0.9997435,0.00009183768,0.00003997369,0.00002530629,0.00005456188,0.00004480147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002667137,0.00002054965,0.006011757,0.00006198154,0.00007374064,0.000004562299,0.0002680612,0.000002519781,0.5678042,0.006195138,0.0002708213,0.41926],"study_design_scores_gemma":[0.0007498598,0.0005097587,0.9217706,0.0001565616,0.0001862321,0.00001614967,0.005574116,0.0006429291,0.01084124,0.01163325,0.04740726,0.0005120047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815638,0.01350238,0.0001266669,0.003531051,0.00006802662,0.0001232827,0.00001713879,0.00002453408,0.001043131],"genre_scores_gemma":[0.9901248,0.00905987,0.0002836924,0.0003262796,0.00005289735,0.00001080023,0.00001061506,7.397658e-7,0.0001303507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9157589,"threshold_uncertainty_score":0.4400547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189531567690936,"score_gpt":0.246729002693506,"score_spread":0.1277758459244124,"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."}}