{"id":"W2947134645","doi":"10.5210/ojphi.v11i1.9880","title":"Malaria burden through routing reporting: Relationship between incidence estimates","year":2019,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Malaria Research and Control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Malaria; Quartile; Medicine; Poisson regression; Public health; Health care; Demography; Environmental health; Internal medicine; Immunology; Population; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01185776,0.0001595948,0.0007824376,0.0002960188,0.0001440791,0.0001212916,0.0002641783,0.0001364903,0.0001339489],"category_scores_gemma":[0.03454614,0.0001211068,0.0001571816,0.0004534175,0.00004359101,0.001219399,0.00008895749,0.001224976,0.00004963282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004038721,"about_ca_system_score_gemma":0.00476814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005242729,"about_ca_topic_score_gemma":0.000004052628,"domain_scores_codex":[0.9931275,0.0001269595,0.004655596,0.00008036079,0.001352344,0.0006572691],"domain_scores_gemma":[0.9903101,0.0007896941,0.006367736,0.0003721388,0.001438048,0.0007222611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004424827,0.00008831044,0.9745879,0.001065195,0.0001155107,0.0000279569,0.003066622,0.00008852331,0.00001225453,0.005354712,0.001192937,0.01435582],"study_design_scores_gemma":[0.003379271,0.001617507,0.943261,0.001250125,0.00006455708,0.001371215,0.004417955,0.01977731,0.00001073944,0.001235149,0.02341725,0.0001979544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7981576,0.0004090492,0.04534712,0.1512967,0.0003081244,0.0008115614,0.0000217557,0.00005737093,0.003590771],"genre_scores_gemma":[0.9241909,0.00007033995,0.07354189,0.001211109,0.0006507274,0.000001730012,0.00004910763,0.00001675658,0.0002673844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1500856,"threshold_uncertainty_score":0.9735863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1651930221990775,"score_gpt":0.4255858077421472,"score_spread":0.2603927855430697,"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."}}