{"id":"W3093008217","doi":"10.1002/met.1953","title":"Malaria and meningitis under climate change: initial assessment of climate information service in Nigeria","year":2020,"lang":"en","type":"article","venue":"Meteorological Applications","topic":"Malaria Research and Control","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Global Affairs Canada; Department for International Development, UK Government; International Development Research Centre; Government of Canada","keywords":"Malaria; Climate change; Early warning system; Meningitis; Warning system; Geography; Environmental science; Ecology; Medicine; Biology; Immunology; Pediatrics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009106706,0.0001967337,0.0001702423,0.001052014,0.0004571588,0.0006858161,0.0001273864,0.0002847193,0.0005289324],"category_scores_gemma":[0.00217275,0.0001323011,0.0002215209,0.001041248,0.0002086651,0.0005399493,0.0006118011,0.0002933032,0.00006415573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008114838,"about_ca_system_score_gemma":0.0006593133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02305363,"about_ca_topic_score_gemma":0.04083063,"domain_scores_codex":[0.9995851,0.0001627033,0.0000509834,0.000025028,0.0000969525,0.00007919661],"domain_scores_gemma":[0.9987968,0.0003124237,0.0003413564,0.00003187454,0.0003299742,0.0001875983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005064977,0.00003453767,0.9957533,0.00002510372,0.00001312939,0.000221449,0.0004113395,0.0006775752,0.0002983096,0.00008250864,0.0000936357,0.002338563],"study_design_scores_gemma":[0.00000106685,0.00006900103,0.996099,0.00001388309,0.000009196796,0.00009340265,0.001931624,0.001420661,0.0001095857,0.00004011306,0.0002088629,0.000003600013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984823,0.00007702945,0.00006554216,0.00009875574,0.000002717743,0.00001933697,0.000263746,0.000001994713,0.0009886883],"genre_scores_gemma":[0.9996114,0.00007961376,0.0000903058,0.000007578632,0.000002615201,0.000005800606,0.0001313169,2.83874e-7,0.00007105157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02305363,"threshold_uncertainty_score":0.04583889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449273534537175,"score_gpt":0.3422412484735754,"score_spread":0.2973138950198579,"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."}}