{"id":"W2943257681","doi":"10.14745/ccdr.v45i05a03","title":"Weather-based forecasting of mosquito-borne disease outbreaks in Canada","year":2019,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Outbreak; West Nile virus; Warning system; Extreme weather; Early warning system; Climate change; Geography; Emerging infectious disease; Infectious disease (medical specialty); Public health; Disease; Mosquito control; Environmental health; Ecology; Biology; Virology; Medicine; Virus; Computer science; Malaria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003149082,0.0003664617,0.0008826356,0.0001065436,0.00009032985,0.00001974365,0.0005145441,0.00005015516,0.000599021],"category_scores_gemma":[0.0005781847,0.0003575587,0.0002369288,0.0003870487,0.00006485813,0.00008629094,0.0001811708,0.0003403921,0.000002139402],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692676,"about_ca_system_score_gemma":0.04548829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958469,"about_ca_topic_score_gemma":0.9964442,"domain_scores_codex":[0.9965227,0.000125144,0.001057999,0.0005517738,0.001047452,0.0006949109],"domain_scores_gemma":[0.9945447,0.0002384873,0.0004454516,0.002984284,0.0002775585,0.001509452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001436203,0.0003585739,0.9732285,0.0008843846,0.0001402644,0.01216918,0.00001287486,0.005416303,0.000089753,0.0001477295,0.004263224,0.001852989],"study_design_scores_gemma":[0.004079241,0.00006477391,0.8975728,0.001134508,0.000527301,0.00005185979,0.0005202108,0.07030577,0.00008087582,0.00004958183,0.02503042,0.0005826845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862888,0.004368273,0.000009381776,0.002755477,0.0003074784,0.001129985,0.0003850314,0.00003023169,0.004725371],"genre_scores_gemma":[0.9966066,0.00002730641,0.00005717383,0.001571213,0.00005180971,0.0001092535,0.0005157904,0.0000677939,0.0009930119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07565575,"threshold_uncertainty_score":0.9998876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332186949979051,"score_gpt":0.2218107803741136,"score_spread":0.2084889108743231,"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."}}