{"id":"W6931836990","doi":"10.5524/100834","title":"GALLO: An R package for Genomic Annotation and integration of multiple data source in livestock for positional candidate LOci","year":2020,"lang":"en","type":"dataset","venue":"Buleria (Universidad de León)","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Annotation; Quantitative trait locus; Identification (biology); Genotyping; Family-based QTL mapping; Genomics; R package; Genome; Visualization; Inclusive composite interval mapping","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002945275,0.002328144,0.002187855,0.002960824,0.000675537,0.002100301,0.003102657,0.001249348,0.04262058],"category_scores_gemma":[0.01019205,0.001004471,0.002171985,0.003793149,0.0004794764,0.001146902,0.002396309,0.001739488,0.03389222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007401761,"about_ca_system_score_gemma":0.002196545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006772063,"about_ca_topic_score_gemma":0.009635604,"domain_scores_codex":[0.998129,0.0005822502,0.000249143,0.0006031074,0.000263947,0.0001725999],"domain_scores_gemma":[0.9971283,0.001652548,0.0002964599,0.0004950337,0.0002655096,0.0001621307],"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":[0.0007611667,0.00006543154,0.005104661,0.006550856,0.001161791,0.0002987251,0.0002032789,0.002938823,0.00328037,0.003440058,0.9547366,0.02145831],"study_design_scores_gemma":[0.001184356,0.00008084033,0.01329903,0.0007548947,0.0004595269,0.0003495436,0.0001219721,0.00432425,0.002793838,0.008340918,0.968147,0.0001436837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0008757156,0.0003015926,0.004750754,0.0001109527,0.00004609239,0.0000648007,0.9850568,0.007935506,0.0008576851],"genre_scores_gemma":[0.002918008,0.0002052647,0.01137001,0.0001730425,0.00001388567,0.0007239855,0.9814844,0.002551353,0.0005599891],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04262058,"threshold_uncertainty_score":0.14258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03406920412531298,"score_gpt":0.2533410647876265,"score_spread":0.2192718606623135,"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."}}