{"id":"W2807623891","doi":"10.1016/s2542-5196(18)30098-6","title":"Assessing the effect of drought severity on height-for-age z-score in Kenyan children: a secondary analysis","year":2018,"lang":"en","type":"article","venue":"The Lancet Planetary Health","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Kenya; Demography; Geography; Anthropometry; Bayesian multivariate linear regression; Multivariate statistics; Covariate; Bivariate analysis; Population; Medicine; Regression analysis; Environmental health; Statistics; Mathematics; Ecology; 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":[],"consensus_categories":[],"category_scores_codex":[0.001492993,0.0001968621,0.0006907529,0.0001577387,0.0003592771,0.00007682712,0.0004491323,0.00006826127,0.00005813597],"category_scores_gemma":[0.00002944044,0.0001089129,0.0001316985,0.0005491612,0.0001572518,0.0001406022,0.00003496223,0.0004354804,0.000008790122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006195329,"about_ca_system_score_gemma":0.00002776424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001630033,"about_ca_topic_score_gemma":0.002268884,"domain_scores_codex":[0.9978755,0.0007650811,0.0003931648,0.0003003235,0.0002195949,0.0004463001],"domain_scores_gemma":[0.9984807,0.0006182156,0.0002191472,0.0005997622,0.00001691804,0.00006526488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002086657,0.0001058956,0.9701647,0.0004635436,0.0002936541,0.000005951648,0.001634904,0.0001612414,0.00002478952,0.00004529084,0.0144674,0.010546],"study_design_scores_gemma":[0.001901241,0.0008297523,0.9927161,0.0001522812,0.0001200786,0.00001481082,0.00002142252,0.00108831,0.0009750252,0.0003805383,0.001664627,0.0001358271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982738,0.0004136562,0.00003228949,0.01464067,0.0003089368,0.0008394261,0.000258671,0.00005253787,0.0007157737],"genre_scores_gemma":[0.9920817,0.00003744969,0.00011506,0.00593908,0.001004693,0.00001241361,0.000785202,0.00001530769,0.000009096863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02255142,"threshold_uncertainty_score":0.444134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273206438245637,"score_gpt":0.3305269572654642,"score_spread":0.3032063134409004,"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."}}