{"id":"W2398608646","doi":"10.1002/wcc.406","title":"Climate change, malaria, and public health: accounting for socioeconomic contexts in past debates and future research","year":2016,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Malaria Research and Control","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Socioeconomic status; Climate change; Malaria; Vulnerability (computing); Public health; Geography; Socioeconomic development; Environmental planning; Environmental resource management; Socioeconomics; Political science; Environmental health; Economic growth; Sociology; Ecology; Medicine; Population; Economics; Biology; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006124802,0.000380609,0.001214928,0.0005473239,0.000516645,0.0001537097,0.0002412046,0.0002176891,0.000262957],"category_scores_gemma":[0.0001675386,0.0002501583,0.0001745856,0.0002195637,0.0002928523,0.0007531299,0.001183896,0.0004625945,0.0001191945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891569,"about_ca_system_score_gemma":0.00005706932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000222332,"about_ca_topic_score_gemma":0.0003772273,"domain_scores_codex":[0.9956538,0.0004935778,0.0009084595,0.0008411172,0.0002554674,0.001847563],"domain_scores_gemma":[0.9979681,0.0004593513,0.0002934099,0.000495491,0.0002006656,0.0005830062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008280789,0.0002062222,0.04444077,0.004653259,0.00004387506,0.00003347101,0.00441788,8.684737e-10,0.0003920875,0.003541407,0.002576415,0.9388666],"study_design_scores_gemma":[0.02364495,0.006957453,0.4785087,0.03077069,0.0001483486,0.0005698902,0.01275295,0.0007541336,0.00003570737,0.003372374,0.4407341,0.001750638],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1953518,0.2186984,0.00002694716,0.5711915,0.0005374788,0.01287485,0.0005498107,0.0001037215,0.0006654538],"genre_scores_gemma":[0.5127624,0.4761472,0.0002180224,0.002242784,0.003775768,0.004566181,0.0001080498,0.00009517078,0.00008444675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9371159,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1544486778892618,"score_gpt":0.4150576127530696,"score_spread":0.2606089348638078,"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."}}