{"id":"W7077073195","doi":"10.5376/tgg.2024.15.0018","title":"Quantitative Trait Loci Analysis in Triticeae: Implications for Breeding and Genetics","year":2024,"lang":"en","type":"article","venue":"Triticeae Genomics and Genetics","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantitative trait locus; Family-based QTL mapping; Genetic architecture; Inclusive composite interval mapping; Triticeae; Association mapping; Linkage (software); Identification (biology); Trait","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":[0.002053298,0.0004171803,0.0006482821,0.0009096673,0.0002639432,0.001013964,0.0006466173,0.0004378974,0.001232646],"category_scores_gemma":[0.002915306,0.0001841658,0.0004859646,0.002612973,0.0008899719,0.0006590239,0.000825659,0.001188788,0.0003256844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040315,"about_ca_system_score_gemma":0.0008409046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002822821,"about_ca_topic_score_gemma":0.002052936,"domain_scores_codex":[0.9993284,0.0002122815,0.00005173294,0.000189453,0.0001783134,0.00003993542],"domain_scores_gemma":[0.9989806,0.0005457731,0.0001640219,0.000104754,0.0001245875,0.00008028364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002056784,0.00008899166,0.0169698,0.001130544,0.0002101407,0.0006563915,0.001046758,0.005517556,0.4357161,0.03392963,0.004089138,0.5004393],"study_design_scores_gemma":[0.0001931442,0.0006354448,0.2952932,0.001033188,0.0005506165,0.004981949,0.002083186,0.07700319,0.09967341,0.2576545,0.2604794,0.0004186325],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2640358,0.08079756,0.6203552,0.01776584,0.0004951419,0.0001387205,0.0034426,0.002598907,0.0103702],"genre_scores_gemma":[0.5779241,0.04496331,0.3661107,0.00165722,0.0002880287,0.0002910384,0.002504922,0.0004915423,0.005769091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002822821,"threshold_uncertainty_score":0.01085907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184084871666658,"score_gpt":0.2990424938964077,"score_spread":0.2572016451797411,"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."}}