{"id":"W2896936078","doi":"10.1016/bs.apar.2018.09.001","title":"Mobile Phone Devices and Handheld Microscopes as Diagnostic Platforms for Malaria and Neglected Tropical Diseases (NTDs) in Low-Resource Settings","year":2018,"lang":"en","type":"review","venue":"Advances in Parasitology/Advances in parasitology","topic":"Parasitic Diseases Research and Treatment","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Toronto General Hospital; University of Toronto","funders":"","keywords":"Neglected tropical diseases; Mobile phone; Malaria; Gold standard (test); Context (archaeology); Mobile device; Tropical disease; Resource (disambiguation); Computer science; Medicine; Biology; Pathology; Disease; Telecommunications; World Wide Web; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001597008,0.001226317,0.00444856,0.001255564,0.0001943049,0.00006509267,0.0005091142,0.0009337651,0.00004421272],"category_scores_gemma":[0.002504883,0.001010288,0.0003118642,0.00101019,0.002360243,0.0007037873,0.0002618649,0.0009864704,0.00005186633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004144524,"about_ca_system_score_gemma":0.0005764542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004410212,"about_ca_topic_score_gemma":0.001300366,"domain_scores_codex":[0.9934881,0.0004131821,0.00174659,0.002129754,0.0003710995,0.001851308],"domain_scores_gemma":[0.9912208,0.006752123,0.0006104763,0.0007017966,0.0001058164,0.0006089769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003014626,0.001719978,0.651765,0.0262815,0.0003321143,0.00377838,0.0002413553,0.00003277599,0.000004388032,0.0006571869,0.0001377686,0.3120349],"study_design_scores_gemma":[0.01420293,0.005076436,0.1028975,0.03854206,0.001682383,0.003174065,0.0004311818,0.0001434356,0.000057695,0.004703661,0.8271642,0.001924406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.09949509,0.8947651,0.00008839962,0.00007365683,0.0004868316,0.004459166,0.000275332,0.00008512103,0.0002713135],"genre_scores_gemma":[0.02415417,0.9681118,0.001370123,0.0002491454,0.0002896813,0.005003794,0.000616295,0.0001086782,0.00009626721],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8270265,"threshold_uncertainty_score":0.9992347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129458843259393,"score_gpt":0.4028630806784739,"score_spread":0.39156849224588,"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."}}