{"id":"W6960922455","doi":"10.1371/journal.pone.0239609.g002","title":"Prediction accuracy of four genomic selection models for genotypes evaluated at Saskatoon, Canada.","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Genotype; Genomic selection; Feature selection; Genome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00195154,0.001422022,0.0004799085,0.0008646536,0.0005485815,0.0008029868,0.0009134467,0.0004963964,0.008841018],"category_scores_gemma":[0.003889665,0.0002323093,0.0008734588,0.0008841282,0.0002641353,0.0002794501,0.0004773167,0.0007215112,0.003408516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005443084,"about_ca_system_score_gemma":0.008332503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8450005,"about_ca_topic_score_gemma":0.8820106,"domain_scores_codex":[0.9994078,0.0001630123,0.00002531017,0.0001823045,0.000117948,0.0001037251],"domain_scores_gemma":[0.9976961,0.000890547,0.00008677561,0.0001304128,0.000943354,0.0002527672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002860545,0.0003117381,0.2626082,0.0002813299,0.0009858834,0.0003613312,0.0001122542,0.2315604,0.01004653,0.001792901,0.2946855,0.1943934],"study_design_scores_gemma":[0.0006446991,0.0002108076,0.2513669,0.0001927579,0.0007483534,0.0001507476,0.0005126678,0.7113349,0.00569576,0.002111481,0.02687492,0.0001558439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7490308,0.003934899,0.05011683,0.00419056,0.0008572909,0.0003128744,0.1414078,0.004911902,0.04523705],"genre_scores_gemma":[0.8146005,0.0004603159,0.02968522,0.0006524741,0.00002662379,0.0001237612,0.1251851,0.0007544581,0.0285117],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1549995,"threshold_uncertainty_score":0.3118246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07386541288378014,"score_gpt":0.2265415223302047,"score_spread":0.1526761094464246,"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."}}