{"id":"W2141891146","doi":"10.1016/j.sste.2010.09.007","title":"State transition detection in the spatio-temporal incidence of malaria","year":2010,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Mount Allison University; Western University; Trinity Western University","funders":"","keywords":"Malaria; Outbreak; Geography; Population; Plasmodium vivax; Persistence (discontinuity); Incidence (geometry); Demography; Host (biology); Biology; Ecology; Virology; Plasmodium falciparum; Immunology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005572007,0.0002366955,0.0006369896,0.001420813,0.0003026573,0.0009860913,0.0008803873,0.0007264235,0.0009057101],"category_scores_gemma":[0.02851228,0.0003313156,0.0004574895,0.0009813047,0.000849446,0.001277529,0.0007917631,0.001079182,0.00008005639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008966266,"about_ca_system_score_gemma":0.0009084845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009839315,"about_ca_topic_score_gemma":0.007284266,"domain_scores_codex":[0.9983355,0.00080927,0.0001101045,0.0003657075,0.0002049761,0.0001745282],"domain_scores_gemma":[0.948183,0.04749461,0.002126787,0.000594514,0.001184558,0.0004164833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00165893,0.0005252975,0.4990099,0.0002102976,0.000483646,0.0002735493,0.0006731036,0.3400356,0.003757147,0.02566398,0.001031635,0.1266769],"study_design_scores_gemma":[0.00001753159,0.00009677042,0.02561354,0.000009786514,0.00003144499,0.00007939262,0.00008007606,0.9676721,0.0006880668,0.005571893,0.0001242777,0.00001512008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9203092,0.000186928,0.07774945,0.0005326602,0.00002778606,0.00002684638,0.000241344,0.000108103,0.000817618],"genre_scores_gemma":[0.9961487,0.00003346297,0.003377939,0.00001890815,0.00001170941,0.00001038973,0.0001345249,0.00000302754,0.0002613064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009839315,"threshold_uncertainty_score":0.02946794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848105436275875,"score_gpt":0.2901464535421432,"score_spread":0.2716653991793845,"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."}}