{"id":"W275458530","doi":"10.1007/s11295-012-0472-0","title":"Breeding without Breeding","year":2012,"lang":"en","type":"article","venue":"Tree Genetics & Genomes","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Technology Agency of the Czech Republic","keywords":"Heritability; Biology; Trait; Selection (genetic algorithm); Truncation (statistics); Truncation selection; Genetics; Statistics; Evolutionary biology; Mathematics; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00259284,0.0007489374,0.000846982,0.001056974,0.001867468,0.001968818,0.001519949,0.001313635,0.04580465],"category_scores_gemma":[0.003535063,0.0004929148,0.0006340523,0.0007708626,0.002356602,0.00273315,0.002735122,0.003510736,0.02728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008344157,"about_ca_system_score_gemma":0.00139291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223365,"about_ca_topic_score_gemma":0.002498952,"domain_scores_codex":[0.9975708,0.0006150947,0.00009044346,0.0006947286,0.0008594362,0.0001694556],"domain_scores_gemma":[0.9969586,0.000567363,0.0001271731,0.001650043,0.0004402151,0.0002566597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002379507,0.0005317102,0.003548034,0.0005506597,0.000114804,0.0004470814,0.0007768899,0.0008205585,0.04982897,0.181946,0.1017767,0.6594207],"study_design_scores_gemma":[0.00005983875,0.0002680802,0.004271033,0.0002319514,0.00007554658,0.00117399,0.0002011345,0.001004698,0.009994461,0.06211933,0.9205518,0.00004823251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03547147,0.004202283,0.3124965,0.01813047,0.00660789,0.0005880969,0.002160379,0.006261779,0.6140812],"genre_scores_gemma":[0.1431397,0.003304483,0.226248,0.01887592,0.001310938,0.0004850305,0.002726969,0.002328912,0.6015801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04580465,"threshold_uncertainty_score":0.1532318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261426466351094,"score_gpt":0.2482547362565837,"score_spread":0.2221120896214743,"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."}}