{"id":"W2888806407","doi":"10.1186/s40249-018-0479-3","title":"Approach to identifying research gaps on vector-borne and other infectious diseases of poverty in urban settings: scoping review protocol from the VERDAS consortium and reflections on the project’s implementation","year":2018,"lang":"en","type":"article","venue":"Infectious Diseases of Poverty","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"UNICEF; World Health Organization","keywords":"Protocol (science); Public health; Poverty; Medicine; Environmental health; Alternative medicine; Pathology; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4975557,0.003352036,0.004325725,0.01354684,0.01089549,0.0140536,0.01042221,0.01698105,0.02285206],"category_scores_gemma":[0.3846914,0.005204149,0.006632455,0.01171083,0.01021675,0.01043284,0.0266056,0.01692242,0.01019094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02819599,"about_ca_system_score_gemma":0.2180182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007477505,"about_ca_topic_score_gemma":0.01152854,"domain_scores_codex":[0.6408395,0.2616296,0.05354099,0.01152896,0.02269969,0.009761239],"domain_scores_gemma":[0.5889723,0.1775266,0.02319659,0.03218954,0.1548456,0.02326933],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003835795,0.001287259,0.003346428,0.1615932,0.0008720256,0.004551277,0.2176606,0.004555951,0.007946482,0.05693506,0.2484038,0.2890122],"study_design_scores_gemma":[0.004302601,0.001047721,0.004238077,0.1376671,0.000571956,0.0009811439,0.05939975,0.001709742,0.003241189,0.03472473,0.7515071,0.0006088499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002724358,0.001935523,0.02863758,0.02233129,0.001858484,0.9338981,0.003902649,0.0003103688,0.004401527],"genre_scores_gemma":[0.002381747,0.000913124,0.05407417,0.002207387,0.0001313493,0.9382289,0.0006998422,0.0000520043,0.001311435],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.5024443,"threshold_uncertainty_score":0.6196033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06407131897550025,"score_gpt":0.4319987045205006,"score_spread":0.3679273855450004,"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."}}