{"id":"W4206285312","doi":"10.22541/au.159301639.90704061","title":"Influence of Temperature on the Global Spread of COVID-19","year":2020,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Vulnerability (computing); Coronavirus disease 2019 (COVID-19); Geography; East Asia; South asia; Range (aeronautics); Demography; Socioeconomics; China; Medicine; Disease; Economics; Ancient history; History; Sociology; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005317169,0.0002714135,0.000357884,0.000486314,0.0003155572,0.0008801324,0.0001615133,0.0002719919,0.001277085],"category_scores_gemma":[0.001555589,0.0001341322,0.0004832513,0.000791225,0.000315634,0.0006146585,0.0006458139,0.0004358063,0.0002743961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919026,"about_ca_system_score_gemma":0.0003483779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007873666,"about_ca_topic_score_gemma":0.007345788,"domain_scores_codex":[0.9994164,0.000190508,0.00004408325,0.0001365751,0.00008878266,0.0001237059],"domain_scores_gemma":[0.9992536,0.000186746,0.0002533506,0.00006498273,0.0001716977,0.00006968446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005948378,0.00003849577,0.9532286,0.000380473,0.0004392539,0.0007739909,0.001163158,0.004279868,0.01047998,0.0007349051,0.000953981,0.02693247],"study_design_scores_gemma":[0.000004016886,0.000135635,0.9910128,0.00007997355,0.0001512615,0.0003951169,0.00112749,0.001007847,0.001218049,0.0002883897,0.00455771,0.00002159176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862599,0.00513638,0.0007645506,0.0003451819,0.0001072861,0.0000207639,0.001273523,0.00001638981,0.006075921],"genre_scores_gemma":[0.9970745,0.001721864,0.0002893493,0.00005273383,0.00004722231,0.000007791418,0.0004147584,0.0000112653,0.0003806505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007873666,"threshold_uncertainty_score":0.01565564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2502223634909992,"score_gpt":0.4441331699652753,"score_spread":0.1939108064742761,"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."}}