{"id":"W2998751195","doi":"10.1371/journal.pone.0227678","title":"A scoping review of importation and predictive models related to vector-borne diseases, pathogens, reservoirs, or vectors (1999–2016)","year":2020,"lang":"en","type":"review","venue":"PLoS ONE","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada; University of Guelph","keywords":"Relevance (law); Statistical model; Dengue fever; Data science; Predictive modelling; Inference; Vector (molecular biology); Computer science; Econometrics; Medicine; Machine learning; Biology; Artificial intelligence; Mathematics; Political science; Pathology","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":[0.0179758,0.002546093,0.004627369,0.0248576,0.00138615,0.004934041,0.00285689,0.003526827,0.006216848],"category_scores_gemma":[0.09450891,0.001506905,0.00753984,0.02277455,0.001328452,0.005112313,0.002393794,0.002095127,0.001111672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007026854,"about_ca_system_score_gemma":0.02541995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046903,"about_ca_topic_score_gemma":0.01632137,"domain_scores_codex":[0.9851243,0.004788752,0.006045042,0.0009847244,0.002693344,0.0003637934],"domain_scores_gemma":[0.9133818,0.06895129,0.008523309,0.001261825,0.007462493,0.0004193601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001036389,0.00003900239,0.0008576681,0.88107,0.002350383,0.0003310986,0.0009009146,0.0008804637,0.0002253438,0.002974577,0.007035682,0.1032312],"study_design_scores_gemma":[0.00002414776,0.00007464392,0.0012182,0.942664,0.005746523,0.000318905,0.0004394168,0.0003376488,0.0001486851,0.001135938,0.04786111,0.00003072875],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001012697,0.9936844,0.001159615,0.001006431,0.0004140398,0.0005221136,0.0006881064,0.00002239732,0.001490239],"genre_scores_gemma":[0.007063924,0.9894696,0.001255719,0.000534195,0.0001745018,0.0007139898,0.0004981123,0.00001138922,0.0002786014],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0248576,"threshold_uncertainty_score":0.09506631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06192153828600876,"score_gpt":0.3228016695613765,"score_spread":0.2608801312753677,"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."}}