{"id":"W2966949635","doi":"10.1101/733170","title":"Continent-wide effects of urbanization on bird and mammal genetic diversity","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genetic diversity; Population; Inbreeding; Effective population size; Biology; Ecology; Urbanization; Genetic monitoring; Population size; Geography; Allele; Demography; Microsatellite; Genetics","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":[0.0007181649,0.0001054681,0.0001916307,0.0007779725,0.0001681434,0.0005065934,0.0001008738,0.0001402138,0.002187106],"category_scores_gemma":[0.001506984,0.00006747735,0.0002613034,0.001133449,0.0003384444,0.0001938509,0.0003975832,0.0001650757,0.0001328879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113877,"about_ca_system_score_gemma":0.0001034623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003357646,"about_ca_topic_score_gemma":0.004011227,"domain_scores_codex":[0.999683,0.0001372684,0.00001415703,0.0000872676,0.00004395164,0.00003432401],"domain_scores_gemma":[0.998997,0.0003878961,0.0002989151,0.0001378153,0.00007992211,0.00009847213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001556746,0.00001344237,0.9870484,0.00002634232,0.0002616005,0.00008926453,0.0002448299,0.0005043294,0.004657137,0.0001391381,0.0003033945,0.006556381],"study_design_scores_gemma":[9.658831e-7,0.000006695888,0.9994611,0.000001635146,0.00001640927,0.00002447785,0.00006422368,0.000155744,0.0000857565,0.00003239771,0.0001494647,0.000001131107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982181,0.0002389673,0.0002347608,0.00006346989,0.000003013087,0.000001848287,0.0005969048,0.00001002416,0.0006329889],"genre_scores_gemma":[0.9993987,0.00006582378,0.0001091075,0.00001363536,0.000004997712,0.00000188359,0.0003108751,0.000003698538,0.00009122844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003357646,"threshold_uncertainty_score":0.007316589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005883588078318842,"score_gpt":0.181592315009782,"score_spread":0.1757087269314632,"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."}}