{"id":"W2464938060","doi":"10.1111/ele.12644","title":"The macroecology of infectious diseases: a new perspective on global‐scale drivers of pathogen distributions and impacts","year":2016,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Macroecology; Ecology; Biology; Infectious disease (medical specialty); Biodiversity; Emerging infectious disease; Citizen science; Temporal scales; Data science; Relative abundance distribution; Evolutionary biology; Disease; Abundance (ecology); Outbreak; Computer science; Relative species abundance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001798131,0.0002752712,0.00132014,0.0001012865,0.0001231974,0.000007873743,0.0001600441,0.0002423345,0.0001628263],"category_scores_gemma":[0.0005332063,0.0001617083,0.0004336362,0.0002236038,0.0006179031,0.00002871873,0.00008601888,0.0002221847,0.00002488308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009657911,"about_ca_system_score_gemma":0.001919728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001163472,"about_ca_topic_score_gemma":0.0001446641,"domain_scores_codex":[0.9982617,0.0002969991,0.0005048619,0.0003547554,0.0001385491,0.000443088],"domain_scores_gemma":[0.9977561,0.0007791768,0.000503009,0.0004123733,0.0001014538,0.0004478962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002628733,0.000846719,0.03474599,0.007028309,0.003119027,0.0001806844,0.0002880624,3.305761e-7,0.000003627758,0.02512898,0.06339651,0.8649989],"study_design_scores_gemma":[0.002756544,0.001928994,0.100556,0.003654334,0.004351683,0.0002553316,0.0002938031,0.000001080944,1.953625e-7,0.001297258,0.8845513,0.0003534605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005798063,0.9665415,0.00009912656,0.01883472,0.0009374652,0.002279905,0.00352719,0.00005010743,0.001931957],"genre_scores_gemma":[0.005646541,0.9927602,0.00001526058,0.001111272,0.0002085179,0.00004654266,0.0001137347,0.00002135312,0.00007661037],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8646454,"threshold_uncertainty_score":0.6594272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009790261151132528,"score_gpt":0.3293720909224468,"score_spread":0.3195818297713143,"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."}}