{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001718845,0.0001344944,0.0002016465,0.000132363,0.0001265669,0.00005836349,0.0003396934,0.0001317503,0.0002559016],"category_scores_gemma":[0.000124414,0.0001307917,0.00002588084,0.0001229422,0.00005984815,0.0005281045,0.00003257302,0.0001063508,0.00001650515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009242184,"about_ca_system_score_gemma":0.0001142154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00425081,"about_ca_topic_score_gemma":0.01899552,"domain_scores_codex":[0.9992401,0.00004438252,0.0001840915,0.0002827272,0.00008585749,0.0001628465],"domain_scores_gemma":[0.9992486,0.0002354629,0.0001770687,0.0001926069,0.000063636,0.00008259832],"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":[0.001376894,0.00008315243,0.003436733,0.0007321025,0.00005821467,0.000006264776,0.0006532104,0.002723028,0.0004860294,0.0001092347,0.980561,0.009774202],"study_design_scores_gemma":[0.002042993,0.001779744,0.1522565,0.00009008707,0.0001376527,0.00001599725,0.001552315,0.1233804,0.0000316132,0.001824657,0.7163851,0.0005028922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04088549,0.00007491599,0.008464364,0.0002533314,0.00004808123,0.0006132775,0.9496331,0.00001045524,0.00001695123],"genre_scores_gemma":[0.08140495,0.0001020191,0.005606883,0.0001256016,0.00005752741,0.000005695691,0.912673,0.000002900866,0.00002142009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2641759,"threshold_uncertainty_score":0.9989052,"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."}}