{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003419462,0.0001134421,0.0001554223,0.0002838165,0.0004772159,0.0004405307,0.00007983554,0.0001859844,0.0006603232],"category_scores_gemma":[0.000572345,0.0001022673,0.0001701248,0.0004542479,0.0003063999,0.0001695305,0.0003134066,0.0002463582,0.0000539327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005072702,"about_ca_system_score_gemma":0.0005460159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01398607,"about_ca_topic_score_gemma":0.02595788,"domain_scores_codex":[0.9997513,0.0001275959,0.00001553246,0.00002990482,0.0000253587,0.00005040717],"domain_scores_gemma":[0.9995828,0.0001997508,0.0001045986,0.00001999085,0.00003982243,0.0000530033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006974925,0.00005359828,0.9899859,0.00003499678,0.00003630275,0.0002881299,0.001026724,0.0004090364,0.0004974171,0.0002263096,0.0002087062,0.007163251],"study_design_scores_gemma":[0.000001998282,0.00005754091,0.9967301,0.00001966699,0.00001540497,0.0001264429,0.002004254,0.0003674509,0.00009538823,0.0001349808,0.0004433116,0.000003530527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979132,0.0003817102,0.00007282766,0.0001937845,0.00001217783,0.000004022579,0.0001243797,0.000001836309,0.001296102],"genre_scores_gemma":[0.9995809,0.0002032107,0.00004462457,0.00001518879,0.000006076699,0.000002542167,0.00003687467,4.2352e-7,0.000110087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01398607,"threshold_uncertainty_score":0.02780932,"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."}}