{"id":"W2120169213","doi":"10.1111/j.1365-294x.2005.02600.x","title":"Testing marker‐based estimates of heritability in the wild","year":2005,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Heritability; Biology; Pedigree chart; Microsatellite; Population; Quantitative genetics; Genetic marker; Evolutionary biology; Genetics; Quantitative trait locus; Statistics; Genetic variation; Mathematics; Demography; Gene; Allele","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":[0.008528015,0.0004324907,0.0004926653,0.0007753918,0.0002557127,0.0006168481,0.000751894,0.000678917,0.0007755624],"category_scores_gemma":[0.0250282,0.0003192645,0.0003655027,0.0004743334,0.0008315314,0.0008613979,0.0006141727,0.000570463,0.0001960084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432071,"about_ca_system_score_gemma":0.0001292466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074339,"about_ca_topic_score_gemma":0.001117648,"domain_scores_codex":[0.9942318,0.003652554,0.0002913588,0.0009602814,0.0007219354,0.0001421704],"domain_scores_gemma":[0.9497844,0.04075191,0.00282164,0.00502403,0.001401154,0.0002168886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002001366,0.0007964617,0.6903822,0.0002073117,0.00248791,0.0008793556,0.001593321,0.02773901,0.2122844,0.005333811,0.0004148691,0.05588002],"study_design_scores_gemma":[0.000234511,0.003513143,0.84104,0.00008240524,0.0006050586,0.001264855,0.0007681904,0.07972442,0.06619804,0.005033725,0.001390066,0.000145609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801267,0.0001111437,0.01892036,0.0000239807,0.000009971723,0.00001590566,0.0002190002,0.00003319923,0.0005396743],"genre_scores_gemma":[0.9942359,0.00004295262,0.005315923,0.00002687981,0.000007055698,0.00002843344,0.0002403786,0.00001816733,0.00008429925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008528015,"threshold_uncertainty_score":0.04510099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090496834182508,"score_gpt":0.2433383451826612,"score_spread":0.2324333768408361,"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."}}