{"id":"W3038077244","doi":"10.1111/eva.13049","title":"Using genetic relatedness to understand heterogeneous distributions of urban rat‐associated pathogens","year":2020,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; Government of British Columbia; Ministry of Agriculture; University of British Columbia; Ministry of Health","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Science Foundation","keywords":"Biology; Evolutionary biology; Ecology; Computational biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004823577,0.000223567,0.0002221618,0.00139831,0.0001912097,0.0003445065,0.000230832,0.0002273035,0.0007382301],"category_scores_gemma":[0.001140894,0.000115091,0.0001647563,0.000617468,0.0003502737,0.0002826799,0.0003067275,0.0001965417,0.00009662408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333191,"about_ca_system_score_gemma":0.0001761007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177186,"about_ca_topic_score_gemma":0.02655604,"domain_scores_codex":[0.9997023,0.0001245241,0.000009991449,0.0001036228,0.00002309369,0.00003647363],"domain_scores_gemma":[0.999239,0.0002177544,0.0003828984,0.00005421453,0.0000476749,0.00005860138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001289846,0.00006768996,0.9627771,0.0000250871,0.000139827,0.00009658605,0.0002604597,0.002052383,0.02611305,0.0002853895,0.00006068476,0.007992758],"study_design_scores_gemma":[0.000002689368,0.00006903367,0.992505,0.00000455683,0.00002211775,0.00005680071,0.0002165164,0.006286091,0.0004818137,0.0002440901,0.000105982,0.000005327663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972228,0.00006226703,0.002366605,0.00001096766,8.513564e-7,0.0000053004,0.00009576112,0.000008400207,0.0002271176],"genre_scores_gemma":[0.999,0.00002128596,0.0008312444,0.000006144557,9.431282e-7,0.000004238982,0.0000692735,0.00000198118,0.00006478169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177186,"threshold_uncertainty_score":0.02340668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204891660037998,"score_gpt":0.2896292029413718,"score_spread":0.2575802863409918,"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."}}