{"id":"W2562762368","doi":"10.1093/jhered/esw077","title":"Combining Genotype, Phenotype, and Environment to Infer Potential Candidate Genes","year":2016,"lang":"en","type":"article","venue":"Journal of Heredity","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Single-nucleotide polymorphism; Genetics; Candidate gene; Phenotype; Quantitative trait locus; Gene; Local adaptation; Phenotypic trait; SNP; Adaptation (eye); Population; Genotype; Computational biology","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":[0.00346712,0.000828022,0.001241444,0.003136402,0.0004782788,0.001036856,0.0005143567,0.0005837317,0.000846598],"category_scores_gemma":[0.004033924,0.0003479266,0.0009252998,0.002657989,0.0004323614,0.0007098578,0.0007249888,0.0006631208,0.0002525368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788715,"about_ca_system_score_gemma":0.000406316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002253659,"about_ca_topic_score_gemma":0.004892934,"domain_scores_codex":[0.998378,0.0008679468,0.00009036985,0.0004381336,0.0001488088,0.00007674265],"domain_scores_gemma":[0.995514,0.003554601,0.000367374,0.0002831334,0.0001492395,0.0001315613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003563725,0.0002429721,0.8323812,0.0001932445,0.002305741,0.0007542488,0.0003533516,0.01154355,0.07966821,0.0006248505,0.0001640767,0.07141218],"study_design_scores_gemma":[0.00005829277,0.0002586752,0.9428218,0.00004363096,0.0006536127,0.0004850719,0.0004298934,0.045965,0.004774387,0.003254399,0.001193126,0.00006213938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543604,0.0006248425,0.04342307,0.00008972963,0.0000137998,0.00005569766,0.0006688728,0.0001065101,0.0006570908],"genre_scores_gemma":[0.962505,0.0003037158,0.03591527,0.00007896144,0.00002188661,0.00006236293,0.0009195963,0.00002665219,0.0001665777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00346712,"threshold_uncertainty_score":0.01833612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007548770329783055,"score_gpt":0.2124083649356295,"score_spread":0.2048595946058464,"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."}}