{"id":"W4312390519","doi":"10.56588/iabcd.v1i1.25","title":"CURRENT AND FUTURE PROJECTIONS OF RISE IN VECTOR BORNE DISEASES DUE TO CLIMATE CHANGE IN INDIA","year":2022,"lang":"en","type":"article","venue":"International Association of Biologicals and Computational Digest","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Climate change; Vector (molecular biology); Geography; Human health; Global warming; Effects of global warming; Natural resource economics; Environmental health; Environmental planning; Development economics; Climatology; Environmental resource management; Ecology; Medicine; Biology; Environmental science; Economics","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":[0.0001860674,0.00006601288,0.0001899116,0.0002617204,0.00004661139,0.000007711007,0.00003559021,0.00003355447,0.00007943087],"category_scores_gemma":[0.00008745306,0.00005752505,0.00003686917,0.000277653,0.00001932498,0.00005205959,0.00007504209,0.0001099683,8.093196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450462,"about_ca_system_score_gemma":0.00002580192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009252489,"about_ca_topic_score_gemma":0.00002016167,"domain_scores_codex":[0.9992292,0.00006515389,0.0002796578,0.0001492388,0.0001906681,0.00008607745],"domain_scores_gemma":[0.9995329,0.0001303995,0.0001604042,0.00002711536,0.0001111339,0.00003809286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009318723,0.0005150752,0.9821457,0.00001752208,0.00001818998,0.00000293889,0.0002231259,0.0002613411,0.00007312631,0.01035891,0.00004205097,0.006248847],"study_design_scores_gemma":[0.0005813038,0.0002588369,0.9960192,0.00003179134,0.000008493816,0.000005918592,0.0001021281,0.000833722,0.000007938159,0.0006066168,0.001489213,0.00005482867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944227,0.0003493383,0.0000115504,0.004059342,0.0002190628,0.0002921886,0.0004247187,0.000008989853,0.0002120806],"genre_scores_gemma":[0.9991159,0.0002601304,0.0000722699,0.0001348574,0.0001179682,0.0001202719,0.0001668586,0.000003098955,0.000008677865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01387352,"threshold_uncertainty_score":0.2345804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876422104227582,"score_gpt":0.3140214334160793,"score_spread":0.2952572123738035,"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."}}