{"id":"W4315853787","doi":"10.1016/j.ecoinf.2023.101986","title":"The ecological determinants of severe dengue: A Bayesian inferential model","year":2023,"lang":"en","type":"article","venue":"Ecological Informatics","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Dengue fever; Dengue virus; Serotype; Poverty; Ecological study; Geography; Socioeconomic status; Biology; Environmental health; Demography; Virology; Medicine; Economics; Population; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01280412,0.001382218,0.002843231,0.003405722,0.001180628,0.003400493,0.003466012,0.004027251,0.005220546],"category_scores_gemma":[0.05322269,0.001762764,0.001876657,0.002136783,0.003661215,0.005058798,0.002425792,0.004158947,0.0006914809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858149,"about_ca_system_score_gemma":0.002203566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037495,"about_ca_topic_score_gemma":0.01403664,"domain_scores_codex":[0.9940329,0.00399041,0.0002028339,0.0009485058,0.000387469,0.0004377863],"domain_scores_gemma":[0.9134933,0.08108303,0.002492652,0.001101474,0.001027924,0.0008016664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008133776,0.0007306888,0.02935081,0.0002111989,0.0006124235,0.0007188513,0.0009435022,0.7308033,0.0004851816,0.2045161,0.002533916,0.02828067],"study_design_scores_gemma":[0.0001299394,0.0001043323,0.003458377,0.00004030967,0.0001458963,0.0001475889,0.0001132043,0.8901604,0.00005739802,0.1052076,0.0003894391,0.00004551179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3664089,0.001330708,0.6073189,0.01312224,0.0001480093,0.0004028638,0.002342387,0.0003936893,0.008532304],"genre_scores_gemma":[0.9652745,0.001182269,0.02633521,0.0005374691,0.0003099746,0.000290554,0.0006857237,0.0000391658,0.005345148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02037495,"threshold_uncertainty_score":0.06771547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307551720239184,"score_gpt":0.2993128288912776,"score_spread":0.2762373116888858,"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."}}