{"id":"W2951690782","doi":"10.1007/s00300-015-1871-0","title":"Evidence of adoption, monozygotic twinning, and low inbreeding rates in a large genetic pedigree of polar bears","year":2015,"lang":"en","type":"article","venue":"Polar Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas; University of Alberta","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; Government of Nunavut","keywords":"Biology; Pedigree chart; Inbreeding; Genotyping; Microsatellite; Population; Genetics; Mating; Ursus maritimus; Offspring; Genotype; Zoology; Demography; Ecology; Allele; Pregnancy","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":[0.001087271,0.0002492537,0.0002494855,0.001032952,0.0006339626,0.0004396994,0.0003551502,0.0002732026,0.001306914],"category_scores_gemma":[0.002307671,0.0001901753,0.0002115817,0.001105608,0.0007854234,0.0003176605,0.0005159085,0.0003989067,0.0001124268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014598,"about_ca_system_score_gemma":0.0001860563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004418813,"about_ca_topic_score_gemma":0.005403175,"domain_scores_codex":[0.999473,0.0002256139,0.00003453592,0.0001455593,0.00006668638,0.00005457077],"domain_scores_gemma":[0.9979455,0.0008055925,0.0005540961,0.0002615952,0.0001950289,0.0002381684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001860089,0.00003367481,0.989588,0.00002160961,0.0001414519,0.0003494754,0.000650968,0.00007872441,0.002933515,0.0002552671,0.00009326083,0.005667984],"study_design_scores_gemma":[0.000001861639,0.00004478372,0.9987042,0.000007067335,0.00003828411,0.0004992925,0.0002778404,0.00004157436,0.0001156275,0.0001244081,0.0001418662,0.000003097116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989123,0.0003633825,0.0002351406,0.00003381705,0.000004778645,0.000001655786,0.00005144024,0.000002026737,0.0003953343],"genre_scores_gemma":[0.9992819,0.000365664,0.0001177442,0.0000128978,0.00001637076,0.000002069549,0.00009002842,0.000001681325,0.0001116902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004418813,"threshold_uncertainty_score":0.008786201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04685862187407012,"score_gpt":0.287169633708596,"score_spread":0.2403110118345259,"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."}}