{"id":"W3030086929","doi":"10.5539/jsd.v13n3p138","title":"Climate Change and the Surge for Pandemics","year":2020,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Globe; Climate change; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Political science; Global warming; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Surge; Development economics; Geography; Economics; Ecology; Meteorology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002757828,0.0002802262,0.0003080046,0.00142687,0.001773484,0.003177347,0.0003771689,0.001644541,0.01171972],"category_scores_gemma":[0.009728862,0.0001482094,0.0003936527,0.001686406,0.003961196,0.005368381,0.002104287,0.002531458,0.0007000837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896984,"about_ca_system_score_gemma":0.002023458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002665586,"about_ca_topic_score_gemma":0.003168766,"domain_scores_codex":[0.9983649,0.001048698,0.00005693732,0.0001064275,0.0002499252,0.0001732171],"domain_scores_gemma":[0.9944056,0.003812328,0.0007515764,0.0002277046,0.0004652784,0.0003374775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001474238,0.00002784473,0.003261951,0.0002199984,0.00001896448,0.0002311142,0.002876322,0.0005255922,0.0001044385,0.9606037,0.01529572,0.01681967],"study_design_scores_gemma":[0.00001076425,0.00005254394,0.01088419,0.001293102,0.0000240928,0.0007960983,0.01370299,0.0007939193,0.0001129537,0.6238969,0.3484042,0.00002829884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06583425,0.159385,0.01129101,0.3843503,0.003921582,0.00008301284,0.0004129827,0.0000642515,0.3746576],"genre_scores_gemma":[0.8546826,0.1062489,0.004336139,0.01343301,0.003805899,0.00006265628,0.0001645487,0.00002978074,0.01723653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01171972,"threshold_uncertainty_score":0.03920639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2752557436720889,"score_gpt":0.3805490726677044,"score_spread":0.1052933289956154,"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."}}