{"id":"W2061576695","doi":"10.1534/g3.112.002733","title":"Predicting Adaptive Phenotypes From Multilocus Genotypes in Sitka Spruce (<i>Picea sitchensis</i>) Using Random Forest","year":2012,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Biology; Single-nucleotide polymorphism; Epistasis; Phenotype; Trait; Evolutionary biology; Quantitative trait locus; Population; Phenotypic trait; Phenotypic plasticity; Association mapping; Adaptation (eye); Genetics; Computational biology; Genotype; Gene; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002059077,0.000385988,0.0003599172,0.0001170972,0.0001954071,0.00004611777,0.0003387155,0.0003696355,0.00006397149],"category_scores_gemma":[0.00001649667,0.0004096733,0.0001532411,0.0002013645,0.000106348,0.00001561446,0.0003391239,0.0001626421,0.00003033327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005152181,"about_ca_system_score_gemma":0.00009766726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004012121,"about_ca_topic_score_gemma":0.0006626863,"domain_scores_codex":[0.997904,0.0001541459,0.0004377147,0.0005418393,0.000284906,0.0006774082],"domain_scores_gemma":[0.9988513,0.00004574871,0.000214147,0.000526031,0.000135729,0.0002270362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002626335,0.00006007326,0.6883177,0.00001557728,0.0001458792,0.000003477045,0.001043828,0.04696235,0.2048335,0.00001127126,0.00003673976,0.05830696],"study_design_scores_gemma":[0.009136531,0.0004687173,0.5440963,0.00007803676,0.0007517154,0.0000592597,0.003433961,0.01781209,0.2925964,0.0006405947,0.1282357,0.002690669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8049744,0.1898187,0.003951157,0.00001759643,0.0005836702,0.00033254,0.000126219,0.00002113922,0.0001745671],"genre_scores_gemma":[0.9726527,0.006047222,0.01934928,0.0002352441,0.001280567,0.000008454605,0.0002459525,0.00005518314,0.0001254086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1837715,"threshold_uncertainty_score":0.9998355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205948088814069,"score_gpt":0.2400678517085333,"score_spread":0.2180083708203926,"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."}}