{"id":"W2159776241","doi":"10.1289/ehp.1306807","title":"Associations between Extreme Precipitation and Gastrointestinal-Related Hospital Admissions in Chennai, India","year":2013,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Institute of Environmental Health Sciences; School of Public Health, University of Michigan; University of Michigan; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Context (archaeology); Medicine; Percentile; Demography; Extreme weather; Geography; Climate change; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002979277,0.0001886573,0.0002481352,0.00008544106,0.000307871,0.00002968776,0.00009590187,0.00007016739,0.004509714],"category_scores_gemma":[0.0001247811,0.0001910214,0.00003447549,0.0001784961,0.0001689359,0.0004760514,0.0001332693,0.0003001045,0.0005971513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481292,"about_ca_system_score_gemma":0.00002555698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931058,"about_ca_topic_score_gemma":0.0001444962,"domain_scores_codex":[0.998181,0.0001376183,0.0004112436,0.0004299915,0.0002608513,0.0005793289],"domain_scores_gemma":[0.9988993,0.0001344598,0.0002128779,0.0001471463,0.000002611039,0.0006036301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002754259,0.0003223059,0.9697905,0.000007709015,0.000003612682,0.000001829693,0.02404587,0.000007181388,0.0003899641,0.00002396595,0.001095392,0.004308952],"study_design_scores_gemma":[0.0004660339,0.0004382555,0.9899621,0.00006262164,0.000003987278,0.000005356544,0.007713615,0.00009540118,0.00001059831,0.001006275,0.00006806848,0.0001677023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895043,0.0003941968,0.00001301761,0.007854493,0.00003516709,0.0009309071,0.00009532186,0.00004132448,0.001131232],"genre_scores_gemma":[0.997864,0.0003564323,0.00107227,0.0002664603,0.00004454897,0.00006139245,0.0001000151,0.0000229744,0.0002118983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02017162,"threshold_uncertainty_score":0.9964003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224859706760162,"score_gpt":0.294536884315627,"score_spread":0.2622882872480254,"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."}}