{"id":"W2406440990","doi":"10.1128/microbe.2.577.2","title":"Emerging Diseases and Global Warming","year":2007,"lang":"en","type":"article","venue":"Microbe Magazine","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global warming; Computer science; Meteorology; Climatology; Climate change; Geography; Biology; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002089036,0.0001186826,0.0001958728,0.00005449249,0.00007168187,0.00002315573,0.00004172937,0.00003988347,0.0003695751],"category_scores_gemma":[0.0000841669,0.0001027812,0.00005403523,0.0001966729,0.00005331753,0.00005785548,0.00005692864,0.00007335102,0.00007920637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007087566,"about_ca_system_score_gemma":0.00009885352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005555199,"about_ca_topic_score_gemma":0.00001705195,"domain_scores_codex":[0.9990494,0.00001101837,0.0002152061,0.0002175831,0.0001266072,0.0003801908],"domain_scores_gemma":[0.9992103,0.00002981349,0.00003838168,0.0001729517,0.00005141002,0.000497147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003664567,0.0004158379,0.2995821,0.0006138821,0.00007806992,0.0005336464,0.0001813414,0.000001344945,0.005341914,0.002740101,0.03012523,0.6600201],"study_design_scores_gemma":[0.001381641,0.0001035664,0.7070493,0.00009724352,0.0001109827,0.0002074212,0.0001715381,0.00008038629,0.00006779209,0.0002225937,0.2903596,0.0001479286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959718,0.00396846,0.002567136,0.004915415,0.0002568507,0.0002665728,0.00005576346,0.0001364747,0.02811528],"genre_scores_gemma":[0.9927405,0.00008708165,0.002066189,0.003355522,0.0003778265,0.00000192996,0.00004613836,0.00001589075,0.00130898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6598722,"threshold_uncertainty_score":0.4191297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012835070096641,"score_gpt":0.2960640579037005,"score_spread":0.2859357072027341,"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."}}