{"id":"W4401404411","doi":"10.1111/nph.20022","title":"Genomic selection in western redcedar: from proof of concept to operational application","year":2024,"lang":"en","type":"article","venue":"New Phytologist","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations; Genome British Columbia; Genome Canada","keywords":"Selection (genetic algorithm); Proof of concept; Biology; Ecology; Environmental science; Computer science; Artificial intelligence","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":[0.00245867,0.0004883194,0.0003010621,0.0001955943,0.0001490011,0.0004698466,0.000781585,0.0003343481,0.0009271906],"category_scores_gemma":[0.001010662,0.0001235974,0.0002846002,0.0002477943,0.0003294148,0.0003269871,0.0004821485,0.0006804951,0.0002142517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685401,"about_ca_system_score_gemma":0.0005140706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00261032,"about_ca_topic_score_gemma":0.003978559,"domain_scores_codex":[0.9996063,0.0001557497,0.00001840728,0.00008559891,0.00009217265,0.00004183934],"domain_scores_gemma":[0.9994692,0.0002449163,0.0000659275,0.00006389273,0.00008978248,0.00006625431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005615507,0.0008198638,0.0317656,0.0002758844,0.0002769317,0.0005997977,0.0004067497,0.05511031,0.716051,0.005639266,0.001520385,0.1869726],"study_design_scores_gemma":[0.000403419,0.008236688,0.08990388,0.0001774222,0.0006594998,0.0009993531,0.0004710135,0.40511,0.4494771,0.006289386,0.03811329,0.0001589148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8106452,0.0006768889,0.1847398,0.0003405348,0.00004015572,0.0001953022,0.0007759023,0.0007623571,0.001823818],"genre_scores_gemma":[0.876618,0.0006854504,0.118365,0.0002782667,0.00001736436,0.0001505891,0.002123946,0.0001279011,0.00163353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00261032,"threshold_uncertainty_score":0.01300287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321502501248417,"score_gpt":0.2665453597123201,"score_spread":0.2533303346998359,"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."}}