{"id":"W1784054190","doi":"10.1111/j.1755-0998.2012.03122.x","title":"<i>Q</i><sub>ST</sub> in a hierarchically structured population","year":2012,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Selection (genetic algorithm); Scale (ratio); Trait; Population; Quantitative trait locus; Evolutionary biology; Statistics; Genetics; Cartography; Artificial intelligence; Mathematics; Demography; Computer science; Gene","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":[0.001573801,0.0001343135,0.0003125514,0.0007097705,0.0005372953,0.0005528621,0.0003672226,0.0002273289,0.001511873],"category_scores_gemma":[0.002900673,0.0001525722,0.0003545455,0.000553532,0.001158791,0.0005020918,0.0004543066,0.0003005845,0.0002220102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006356133,"about_ca_system_score_gemma":0.000473374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003479037,"about_ca_topic_score_gemma":0.00612854,"domain_scores_codex":[0.9994388,0.0001625351,0.00004017202,0.0002320567,0.00006925834,0.00005720637],"domain_scores_gemma":[0.9980779,0.0008065827,0.000406182,0.0003559653,0.0002381627,0.0001151509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006638967,0.0002311485,0.5372784,0.0002914446,0.0006169676,0.0009390405,0.002433253,0.05228638,0.2104046,0.1023477,0.001391428,0.09111569],"study_design_scores_gemma":[0.0001276487,0.0005418838,0.7532118,0.00005324943,0.0002976721,0.001127395,0.0006920245,0.1199061,0.008373126,0.1133206,0.002259447,0.00008899887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682146,0.00006483326,0.02916295,0.00007250609,0.000003021804,0.00001486192,0.00008561918,0.00006101847,0.002320685],"genre_scores_gemma":[0.9931152,0.00002278901,0.00643522,0.00004067535,0.000004334568,0.00001073215,0.0000852025,0.00001322522,0.0002726599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003479037,"threshold_uncertainty_score":0.008323133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004652268736998381,"score_gpt":0.2146218584310682,"score_spread":0.2099695896940698,"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."}}