{"id":"W4410369198","doi":"10.3390/agronomy15051185","title":"QTL Identification and Candidate Gene Prediction for Spike-Related Traits in Barley","year":2025,"lang":"en","type":"article","venue":"Agronomy","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Quantitative trait locus; Spike (software development); Identification (biology); Candidate gene; Biology; Family-based QTL mapping; Gene; Genetics; Computational biology; Gene mapping; Computer science; Botany; Chromosome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002987236,0.0004381496,0.000577778,0.0006493574,0.0001778557,0.0002607169,0.0003433475,0.0001733815,0.001459425],"category_scores_gemma":[0.0002470039,0.0002273586,0.000689217,0.0007441453,0.0001194534,0.0001153207,0.0001747043,0.0002225092,0.0003639192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363356,"about_ca_system_score_gemma":0.0003485371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003866598,"about_ca_topic_score_gemma":0.003404576,"domain_scores_codex":[0.9999042,0.00001070518,0.000005373778,0.00003984435,0.00001956939,0.00002034627],"domain_scores_gemma":[0.9999219,0.00003499754,0.00001180791,0.000004025348,0.00001302875,0.00001425086],"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":[0.000982911,0.000157966,0.03234031,0.0002794021,0.0001581028,0.000845104,0.0001506381,0.01017946,0.8928612,0.000564273,0.001142639,0.06033803],"study_design_scores_gemma":[0.0006460802,0.0007706065,0.7106439,0.00003711526,0.0006237015,0.001006529,0.0003360221,0.1367101,0.1366765,0.001199914,0.01123049,0.0001190234],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299952,0.0009289522,0.06295022,0.000100466,0.00002807942,0.00008431327,0.004180763,0.00086133,0.0008707108],"genre_scores_gemma":[0.9295995,0.0004509811,0.05909431,0.0000607113,0.00001964923,0.00008207676,0.00840939,0.0001316578,0.002151868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003866598,"threshold_uncertainty_score":0.007688224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951230938748584,"score_gpt":0.2136929125782942,"score_spread":0.2041806031908084,"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."}}