{"id":"W4308010943","doi":"10.21203/rs.3.rs-2097712/v1","title":"Simulations of genomic selection accuracy and model updating across multiple breeding strategy scenarios in common bean","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Genomic selection; Selection (genetic algorithm); Model selection; Computer science; Biology; Machine learning; Genetics; Genotype","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":[0.001592247,0.0004088803,0.0005565412,0.0004519375,0.0003697674,0.0005818601,0.0006204321,0.0007972646,0.0008509515],"category_scores_gemma":[0.006314191,0.0002332397,0.0006096427,0.000417507,0.0004914349,0.0005110708,0.0004458026,0.0005883595,0.00007012636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038525,"about_ca_system_score_gemma":0.0006087135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02853986,"about_ca_topic_score_gemma":0.01364734,"domain_scores_codex":[0.999727,0.0001352754,0.00001273262,0.00004609234,0.00002745845,0.00005151652],"domain_scores_gemma":[0.9949956,0.004118334,0.0002597459,0.0002115969,0.0002764243,0.0001383511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000823259,0.00003780609,0.00724913,0.00001209272,0.00002369184,0.00003342178,0.00002495158,0.9904259,0.0004761932,0.0003181582,0.00007204407,0.001244304],"study_design_scores_gemma":[0.00001804096,0.00005421273,0.002337136,0.000004266362,0.0000140133,0.000007398058,0.00002369222,0.9968863,0.0003080307,0.000272485,0.00006818756,0.000006325529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936546,0.00006442738,0.00516377,0.00006673384,0.000007178793,0.00001124579,0.0001603327,0.00006117986,0.0008104018],"genre_scores_gemma":[0.9984017,0.00001632001,0.001334487,0.000008744852,0.000001000572,0.00001139855,0.00008685578,0.000007011924,0.0001325936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02853986,"threshold_uncertainty_score":0.0567475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06831295360823403,"score_gpt":0.3972315232571185,"score_spread":0.3289185696488845,"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."}}