{"id":"W6961044388","doi":"10.1371/journal.pone.0239609.g003","title":"Prediction accuracy of four genomic selection models for genotypes evaluated at Swift Current, 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; Swift; 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":[0.002335355,0.001369519,0.0005828539,0.0009707484,0.0007004471,0.0009498753,0.001235853,0.0006061124,0.008648396],"category_scores_gemma":[0.004970313,0.0002640966,0.0009728359,0.0009334348,0.0003255916,0.0003351919,0.0005410668,0.0008475205,0.004030305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006307018,"about_ca_system_score_gemma":0.00930373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8809503,"about_ca_topic_score_gemma":0.909495,"domain_scores_codex":[0.999293,0.0001536656,0.00002864316,0.0002103533,0.0002049487,0.0001095045],"domain_scores_gemma":[0.9970357,0.001071555,0.0001056645,0.0001484845,0.001334852,0.0003037464],"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":[0.002428891,0.0003447727,0.212712,0.0003665614,0.0008260261,0.000251877,0.0001387208,0.1740554,0.006846806,0.002021936,0.4105928,0.1894143],"study_design_scores_gemma":[0.0007199618,0.0002079784,0.23152,0.0002401801,0.0008009126,0.0001465122,0.0005361682,0.7158578,0.005267042,0.002670011,0.04185969,0.0001737019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6631936,0.004945352,0.05529764,0.006206912,0.00107294,0.0003907269,0.2016245,0.008321916,0.05894658],"genre_scores_gemma":[0.7257929,0.0005890038,0.03805069,0.0008328419,0.00004754983,0.0001570524,0.1981101,0.001224371,0.03519547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190497,"threshold_uncertainty_score":0.2395015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09713223789586317,"score_gpt":0.2488751070108113,"score_spread":0.1517428691149482,"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."}}