{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001521311,0.001134144,0.001830495,0.003581156,0.0004444229,0.002231274,0.0009787803,0.002147625,0.002952794],"category_scores_gemma":[0.001916124,0.0003373449,0.0006340923,0.00333448,0.001644298,0.003745682,0.001461028,0.002586429,0.001006325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104081,"about_ca_system_score_gemma":0.002799456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002977557,"about_ca_topic_score_gemma":0.003453757,"domain_scores_codex":[0.9996067,0.0001079553,0.00004302412,0.00006852664,0.0001358706,0.00003805337],"domain_scores_gemma":[0.9984887,0.0008943081,0.0001885689,0.00004737908,0.000261343,0.0001196584],"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":[0.00004897962,0.00005304088,0.001762319,0.01916683,0.0002339367,0.0004306684,0.0005695295,0.001130174,0.001469458,0.04340009,0.03302914,0.8987058],"study_design_scores_gemma":[0.000008032493,0.00007143078,0.004014296,0.008814038,0.0001252017,0.001405444,0.0005114987,0.0002368681,0.0002328704,0.01826808,0.9662652,0.00004710268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000121423,0.9974552,0.0002095131,0.001351268,0.0002138591,0.000002023381,0.00001149568,0.000004934482,0.0006302949],"genre_scores_gemma":[0.001351783,0.997241,0.0002591367,0.0003858475,0.0004717041,0.000004074899,0.00001422046,0.000001749613,0.0002704878],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003581156,"threshold_uncertainty_score":0.009878039,"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."}}