{"id":"W4394071560","doi":"10.6084/m9.figshare.17020931","title":"Additional file 2 of Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Identification (biology); Biology; Gene; Genetics; Whole genome sequencing; Computational biology; Genome; Biotechnology; Botany","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001055935,0.001204095,0.001450312,0.001442574,0.0007822373,0.001517343,0.001958025,0.001397498,0.4511601],"category_scores_gemma":[0.008619655,0.0005101254,0.0009899325,0.002523585,0.0003028405,0.0007568676,0.0009704799,0.0009934282,0.05855571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007945218,"about_ca_system_score_gemma":0.001327226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197859,"about_ca_topic_score_gemma":0.0233104,"domain_scores_codex":[0.9995472,0.00007250959,0.00006187134,0.0001713112,0.00007252709,0.00007450862],"domain_scores_gemma":[0.9959785,0.002730158,0.0003283268,0.0002917355,0.0004564583,0.0002147769],"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":[0.0005447314,0.000123769,0.007356627,0.003263447,0.000182801,0.0001331411,0.00006872371,0.0007231564,0.0004474589,0.0006696273,0.9810686,0.005417842],"study_design_scores_gemma":[0.008328748,0.0003385194,0.0785102,0.002557244,0.0006846498,0.0008629379,0.0003469193,0.002901865,0.001732276,0.007634988,0.8959476,0.0001540607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001842401,0.00001592398,0.00005788488,0.00002232551,0.000004940546,0.00001044775,0.9994986,0.00005234787,0.0001532712],"genre_scores_gemma":[0.002167756,0.0000375195,0.0005765635,0.0001030093,0.00001256741,0.000232343,0.9957181,0.00008291534,0.001069318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4511601,"threshold_uncertainty_score":0.7828535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053154787065806,"score_gpt":0.2677112521140126,"score_spread":0.2471797042433545,"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."}}