{"id":"W2964533739","doi":"10.1186/s13071-019-3656-8","title":"Predicting West Nile virus transmission in North American bird communities using phylogenetic mixed effects models and eBird citizen science data","year":2019,"lang":"en","type":"article","venue":"Parasites & Vectors","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; West Nile virus; Transmission (telecommunications); Ecology; Population; Phylogenetic tree; Geography; Zoology; Demography; Virus; Virology","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":[0.002591036,0.000527047,0.0004528785,0.000861989,0.0005353665,0.000664307,0.0007501756,0.0006512527,0.001209975],"category_scores_gemma":[0.003742331,0.0005460024,0.001070211,0.0006115055,0.0002926186,0.0006984787,0.000780257,0.0007534996,0.0003113841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006175431,"about_ca_system_score_gemma":0.0005569808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04266835,"about_ca_topic_score_gemma":0.05464486,"domain_scores_codex":[0.999276,0.0003717139,0.00002749579,0.000222533,0.00002465313,0.00007756982],"domain_scores_gemma":[0.9979755,0.001035238,0.0004636347,0.000182935,0.0001462922,0.0001964138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003835158,0.0003350762,0.8741878,0.00004782776,0.0005078042,0.0001688746,0.0003087004,0.105608,0.0007084682,0.0006742079,0.001879875,0.01518994],"study_design_scores_gemma":[0.00003838808,0.0001457448,0.2033417,0.00002964433,0.0001213222,0.00007560573,0.0003714907,0.7932751,0.0001875063,0.001415864,0.0009750403,0.00002268172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922112,0.0001101789,0.005611909,0.0002519193,0.00001062744,0.00002244685,0.001478999,0.00005046189,0.000252149],"genre_scores_gemma":[0.9894096,0.00009022122,0.007210969,0.0001054935,0.00001766842,0.00005005626,0.002645447,0.00001163586,0.0004589239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9573317,"threshold_uncertainty_score":0.08484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02733477878523442,"score_gpt":0.295925692587661,"score_spread":0.2685909138024266,"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."}}