{"id":"W6886007505","doi":"10.13925/j.cnki.gsxb.20240644","title":"Genetic diversity and GWAS analysis of flesh hardness trait in Xinjiang melon germplasm resources","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Germplasm; Flesh; Genetic diversity; Melon; Population; Trait; Hybrid; Genetic variation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008538314,0.0002161259,0.0006868665,0.001206791,0.0002554569,0.0001563173,0.001778435,0.0001614739,0.0003999147],"category_scores_gemma":[0.0003087712,0.0002139106,0.000194098,0.001709816,0.0003137704,0.00006662159,0.003660826,0.0002412158,4.485841e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004733643,"about_ca_system_score_gemma":0.0001023013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006417122,"about_ca_topic_score_gemma":0.0004413948,"domain_scores_codex":[0.9978981,0.0002772452,0.0005775988,0.0005083643,0.0004179145,0.0003207978],"domain_scores_gemma":[0.9986668,0.0001316791,0.0003630624,0.000476264,0.0002301373,0.0001320707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002568633,0.0001168533,0.8966943,0.0001319082,0.000812059,0.00001811095,0.0001792159,0.0008226908,0.09432298,0.00001710193,0.001130193,0.005497691],"study_design_scores_gemma":[0.0004781795,0.00001494896,0.9767901,0.0001533114,0.0002588857,0.000002652225,0.0001249623,0.0001891161,0.01800802,0.0006194048,0.003150762,0.000209606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707652,0.02621714,0.0006089138,0.0000508093,0.000113217,0.0002526053,0.00006609836,0.000004600043,0.001921359],"genre_scores_gemma":[0.988368,0.01069203,0.00030375,0.00005923914,0.00003519807,0.00001258006,0.000009021112,0.00001598929,0.0005041526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08009582,"threshold_uncertainty_score":0.8723022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1443093350234947,"score_gpt":0.5384834794019892,"score_spread":0.3941741443784945,"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."}}