{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006773649,0.0004522486,0.0004342439,0.001838312,0.0009163382,0.0004681462,0.0003536218,0.0002912254,0.002075853],"category_scores_gemma":[0.0004043581,0.0002024284,0.0006698447,0.002121722,0.0002865064,0.0001708612,0.0003776338,0.000325537,0.0001466799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710687,"about_ca_system_score_gemma":0.0002555799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003115732,"about_ca_topic_score_gemma":0.007267499,"domain_scores_codex":[0.9995897,0.00005935892,0.00005141218,0.0001938076,0.00005446338,0.00005125914],"domain_scores_gemma":[0.9997166,0.00007395275,0.00008797143,0.00003624747,0.00003164493,0.00005358092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001534569,0.0003628024,0.7320922,0.0003772444,0.0007378452,0.002396392,0.002099706,0.001736273,0.2246348,0.0006280012,0.0008051297,0.03259498],"study_design_scores_gemma":[0.00003822618,0.0001361235,0.9919894,0.00002361389,0.0002246116,0.0004478136,0.000196498,0.001721275,0.003214556,0.00008967988,0.001902784,0.0000152981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975858,0.0001360622,0.0008699092,0.00003112969,0.000006942541,0.00002274345,0.000939137,0.00001791126,0.0003903652],"genre_scores_gemma":[0.9950141,0.00009285772,0.002184801,0.00003904182,0.000008616956,0.00004189011,0.002018157,0.00001429691,0.0005860578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003115732,"threshold_uncertainty_score":0.006944418,"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."}}