{"id":"W2006075323","doi":"10.1007/s10592-015-0709-1","title":"Valid estimates of individual inbreeding coefficients from marker-based pedigrees are not feasible in wild populations with low allelic diversity","year":2015,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Victoria University of Wellington; University of Victoria; Allan Wilson Centre","keywords":"Pedigree chart; Inbreeding; Biology; Genetic diversity; Genetics; Locus (genetics); Microsatellite; Population; Allele; Evolutionary biology; Effective population size; Statistics; Genetic variation; Demography; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008719521,0.0007966825,0.001292862,0.002808179,0.001194649,0.001448402,0.001651991,0.0006713361,0.002326022],"category_scores_gemma":[0.01829025,0.0006785574,0.0005052817,0.002764288,0.0009471668,0.001803481,0.001067382,0.001139695,0.001015869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004357634,"about_ca_system_score_gemma":0.0003472738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002312633,"about_ca_topic_score_gemma":0.009021984,"domain_scores_codex":[0.9941954,0.003481578,0.0004014957,0.000953629,0.0008051472,0.0001627423],"domain_scores_gemma":[0.9794774,0.01169777,0.003647182,0.003513105,0.001222544,0.0004419734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003248107,0.000318231,0.7853654,0.0005116045,0.002295741,0.0006047424,0.001510191,0.008148831,0.023083,0.005442396,0.001979972,0.170415],"study_design_scores_gemma":[0.00006531015,0.000375315,0.9458371,0.0002260418,0.0006071068,0.001901144,0.0004920868,0.02123365,0.004817474,0.01886045,0.005500517,0.00008370897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8288029,0.001231061,0.1595345,0.0001424552,0.0001001267,0.0001476572,0.002880406,0.0002820245,0.00687893],"genre_scores_gemma":[0.9466656,0.0004047857,0.04947512,0.0001941089,0.00003985373,0.0001554187,0.002114128,0.00009241823,0.0008585851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008719521,"threshold_uncertainty_score":0.04611379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0798231121429596,"score_gpt":0.2779013441702554,"score_spread":0.1980782320272957,"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."}}