{"id":"W3200592058","doi":"10.1086/717176","title":"Looking across Scales in Disease Ecology and Evolution","year":2021,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Evolutionary ecology; Ecology; Temporal scales; Scale (ratio); Spatial ecology; Biology; Geography","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":[0.0001018177,0.00007271944,0.00008745203,0.00001185735,0.00008548425,0.00001754294,0.00009107066,0.00002823591,0.00000253177],"category_scores_gemma":[0.0001163315,0.00005860823,0.0000322922,0.0001342591,0.0003969139,0.000001763147,0.0001371236,0.00008381552,0.000003787621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000221338,"about_ca_system_score_gemma":0.00004501748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009810483,"about_ca_topic_score_gemma":0.003103958,"domain_scores_codex":[0.9993728,0.00009902653,0.00009209958,0.0002078206,0.00005445228,0.0001737769],"domain_scores_gemma":[0.999621,0.0000165915,0.00005222641,0.0002181148,0.00004025458,0.00005180013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003099465,0.000131565,0.8556194,0.00002548074,0.00005373549,0.00004593265,0.0002191776,0.0009682041,0.131872,0.002934009,0.001285466,0.006535151],"study_design_scores_gemma":[0.0002369564,0.00002399921,0.9953591,0.000003927813,0.000006094316,0.00002460035,0.0003373691,0.0009772951,0.0003328388,0.0004036539,0.00219739,0.00009673328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961317,0.001737412,0.0001607064,0.001732947,0.00006632214,0.00004823675,0.00002076,0.00000592986,0.0000960378],"genre_scores_gemma":[0.9977798,0.0004608716,0.0001633768,0.001104603,0.00006457944,0.000005549786,0.00006681082,0.000007148548,0.0003472916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1397398,"threshold_uncertainty_score":0.2389974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003742777324011323,"score_gpt":0.2672110461580912,"score_spread":0.2634682688340798,"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."}}