{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002250902,0.0002156681,0.0001786605,0.00006458587,0.0001880281,0.00004871738,0.0002666984,0.000142064,0.0000862299],"category_scores_gemma":[0.00002001616,0.0002097817,0.0001050601,0.00007808993,0.00007056342,0.000004694915,0.0002148989,0.00007967855,0.00009330522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001061298,"about_ca_system_score_gemma":0.00003094754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001022879,"about_ca_topic_score_gemma":0.00001022578,"domain_scores_codex":[0.9987336,0.0000280438,0.0001934259,0.0002915537,0.0001875528,0.0005658671],"domain_scores_gemma":[0.9993307,0.000009352834,0.00007862378,0.0002887521,0.00005934902,0.0002331956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003596416,0.00008440979,0.4296353,0.00002546531,0.000107668,0.00000172448,0.0004201767,0.00007462079,0.543546,0.0001773833,0.006857541,0.01903379],"study_design_scores_gemma":[0.001366292,0.0008680419,0.1358059,0.00003546096,0.0001753439,0.0001259171,0.001371574,0.0001730249,0.12542,0.0001762183,0.7333224,0.001159902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674023,0.009971303,0.0009152144,0.00009934667,0.0004669381,0.0001260992,0.00002780878,0.0000327891,0.02095814],"genre_scores_gemma":[0.9905944,0.001081506,0.00375887,0.00027086,0.001190558,0.000005272254,0.00005902678,0.00002533961,0.003014134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7264648,"threshold_uncertainty_score":0.8554651,"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."}}