{"id":"W2088355025","doi":"10.2135/cropsci2007.05.0254","title":"Breeding Line Selection Based on Multiple Traits","year":2008,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Selection (genetic algorithm); Trait; Biology; Avena; Biotechnology; Culling; Breeding program; Quantitative trait locus; Genomic selection; Index selection; Genotype; Genetics; Computer science; Agronomy; Machine learning; Ecology","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":[0.0024194,0.0009226227,0.001206954,0.001396608,0.0004347291,0.0008753284,0.0009058612,0.000345644,0.004225492],"category_scores_gemma":[0.002873659,0.0003042566,0.0008812937,0.00135155,0.0002290225,0.0004742639,0.0007299244,0.0005618677,0.001689838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557247,"about_ca_system_score_gemma":0.0003976176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00109527,"about_ca_topic_score_gemma":0.00298402,"domain_scores_codex":[0.9986815,0.0003926433,0.00008107568,0.0004364299,0.0003124538,0.0000958044],"domain_scores_gemma":[0.9977741,0.0007749217,0.0002812324,0.000524532,0.0005165627,0.0001287158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009802268,0.0007025845,0.1421291,0.0002370532,0.001029,0.0006460443,0.0002778379,0.03153605,0.1184689,0.002207697,0.006087351,0.6956981],"study_design_scores_gemma":[0.0003462484,0.002162666,0.3897973,0.000107818,0.001631966,0.001949168,0.0002756376,0.5103264,0.06680258,0.004845907,0.02154238,0.0002120014],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4452823,0.0003364119,0.5429445,0.0001014612,0.00005816987,0.0005911531,0.00214715,0.003236138,0.005302749],"genre_scores_gemma":[0.5673542,0.0002248743,0.4135071,0.0001895259,0.00004759428,0.0004431799,0.008882952,0.0005807271,0.008769764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004225492,"threshold_uncertainty_score":0.01413566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05985369785916165,"score_gpt":0.2173344272803902,"score_spread":0.1574807294212285,"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."}}