{"id":"W2123975374","doi":"10.5539/enrr.v3n1p127","title":"Impact of Climate Variability on Human Health in Ilorin, Nigeria","year":2013,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Medicinal Plant Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Typhoid fever; Malaria; Climate change; Human health; Geography; Climatic variability; Environmental health; Ecology; Environmental science; Climatology; Socioeconomics; Biology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001729618,0.0001241578,0.0003698641,0.0002358247,0.0001399953,0.000009453757,0.00008091669,0.00005632791,0.0005177005],"category_scores_gemma":[0.000240204,0.00007934592,0.0000522647,0.000138336,0.0003252257,0.00004177183,0.0001566261,0.0006327367,0.00004986295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002650883,"about_ca_system_score_gemma":0.00001892177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007036397,"about_ca_topic_score_gemma":0.00001719172,"domain_scores_codex":[0.9980242,0.0002888037,0.0002918658,0.0002886814,0.0006093582,0.0004970499],"domain_scores_gemma":[0.9990574,0.0004271052,0.00005570583,0.000251535,0.00001996804,0.0001883044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000518587,0.0002705818,0.976422,0.0001782864,0.00004512125,0.00001046281,0.001396734,0.000003912765,0.006792512,0.00003855506,0.001378539,0.01294478],"study_design_scores_gemma":[0.0007870352,0.001861398,0.9955468,0.0001389337,0.000002573235,0.000004147123,0.0002612212,0.00005007404,0.0001044005,0.0001376334,0.001045714,0.00006005036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946516,0.0009727551,1.908533e-7,0.001563552,0.00001578932,0.0006808501,0.00000738091,0.000007227097,0.002100664],"genre_scores_gemma":[0.9969468,0.002343614,0.00003890602,0.00005909625,0.00006368342,0.00002422593,0.00001641764,0.000009182385,0.0004981196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0191249,"threshold_uncertainty_score":0.5668458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05751171045321563,"score_gpt":0.4026958541313773,"score_spread":0.3451841436781616,"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."}}