{"id":"W6944474466","doi":"10.17632/ddk3hkhjx6.1","title":"Supplementary File: Identification of QTL for Body Conformation and Head Shape in the American Quarter Horse","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Head (geology); Quantitative trait locus; Identification (biology); Quarter (Canadian coin); Horse; Variation (astronomy)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001938063,0.0003154024,0.0004996329,0.0004636212,0.00009568285,0.0001021952,0.001995094,0.00008881612,0.0008558942],"category_scores_gemma":[0.0002686396,0.0002661552,0.00004073437,0.0004967206,0.0001765989,0.0005577072,0.0005157203,0.0002791399,0.00003107875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008643087,"about_ca_system_score_gemma":0.0001544353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00394024,"about_ca_topic_score_gemma":0.006065136,"domain_scores_codex":[0.9972299,0.0002829366,0.001073906,0.0006077563,0.0004847449,0.0003207534],"domain_scores_gemma":[0.9953482,0.000429956,0.001091442,0.002996934,0.00009353023,0.00004000812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001531359,0.0001392138,0.00002089378,0.0004080587,0.00008116099,0.000001232549,0.0001128807,5.560245e-7,0.0001099813,0.00001037653,0.9971879,0.001774578],"study_design_scores_gemma":[0.0007337867,0.0001335282,0.0008935592,0.000121795,0.0002620156,0.000004655677,0.0012883,0.00371882,0.00003813497,0.00003197031,0.9925329,0.0002405419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003718644,0.00006262414,0.00006670143,0.0004563099,0.0001022773,0.00183434,0.9970863,0.00001276236,0.000006815624],"genre_scores_gemma":[0.0005796726,0.0002345466,0.0002181731,0.0003858352,0.00006813825,0.0004397157,0.9980416,0.00001830854,0.00001405597],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004655039,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03982203644488368,"score_gpt":0.3604312840901254,"score_spread":0.3206092476452417,"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."}}