{"id":"W4385520758","doi":"10.1101/2023.08.01.551454","title":"Island demographics and trait associations in white-tailed deer","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Trent University","keywords":"Biology; Runs of Homozygosity; Inbreeding; Population; Odocoileus; Trait; Genetics; Candidate gene; Evolutionary biology; Single-nucleotide polymorphism; Phenotypic trait; Nucleotide diversity; Genetic diversity; Genome-wide association study; Haplotype; Gene; Phenotype; Zoology; Allele; Genotype; Demography","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":[0.0002562932,0.0001144724,0.000130737,0.000591367,0.0002132111,0.0003310841,0.0001511565,0.0001657545,0.0009519949],"category_scores_gemma":[0.0004858537,0.0000864528,0.00009554175,0.0003266201,0.0002034902,0.0001541098,0.0002211575,0.0001682647,0.0000882429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008119472,"about_ca_system_score_gemma":0.00005488294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00213765,"about_ca_topic_score_gemma":0.005466655,"domain_scores_codex":[0.9998507,0.00004234796,0.00001391165,0.00005431957,0.00001697461,0.00002165792],"domain_scores_gemma":[0.9995834,0.00009296159,0.0001627775,0.00003272805,0.00005028137,0.00007777964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005836362,0.00001811583,0.991947,0.000006175344,0.00003891765,0.00006257729,0.00009990366,0.00004068496,0.006663377,0.00002711423,0.00002726707,0.00101042],"study_design_scores_gemma":[8.879491e-7,0.0000348989,0.9993675,0.00000126491,0.000008043443,0.0001085117,0.0001276549,0.00009573334,0.0001761224,0.00001854131,0.00005965976,0.0000011464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996486,0.00003509919,0.0001066898,0.000004253348,7.980919e-7,0.000001935676,0.0001009014,0.00000122033,0.0001004438],"genre_scores_gemma":[0.9995468,0.00001902254,0.000162269,0.000005637905,0.000001405145,0.000003381871,0.0001495416,0.000001378851,0.000110511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00213765,"threshold_uncertainty_score":0.004250407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503312124543135,"score_gpt":0.2200313416972425,"score_spread":0.2049982204518111,"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."}}