{"id":"W4311227539","doi":"10.4269/ajtmh.22-0527","title":"High Sensitivity of Mobile Phone Microscopy Screening for Schistosoma haematobium in Azaguié, Côte d’Ivoire","year":2022,"lang":"en","type":"article","venue":"American Journal of Tropical Medicine and Hygiene","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network","funders":"Lawrence Berkeley National Laboratory; Department of Medicine, University of Toronto; UC Berkeley College of Chemistry; Stanford Bio-X; School of Medicine, Stanford University; University of Toronto; Universität Basel","keywords":"Schistosoma haematobium; Schistosomiasis; Mobile phone; Cote d ivoire; Microscopy; Schistosoma; Neglected tropical diseases; Environmental health; Biology; Medicine; Immunology; Schistosoma mansoni; Pathology; Helminths; Computer science; Disease; Telecommunications","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":[0.001959021,0.0006125747,0.0005835543,0.001205285,0.0008062196,0.001251401,0.0005636651,0.0009030079,0.001615988],"category_scores_gemma":[0.005209516,0.0006769919,0.0002759408,0.0006185819,0.0010037,0.0004165143,0.0006196363,0.0006774089,0.0002458913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611523,"about_ca_system_score_gemma":0.0007029116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08416322,"about_ca_topic_score_gemma":0.1178541,"domain_scores_codex":[0.9975763,0.0008787414,0.0001265986,0.000492276,0.0005387044,0.0003873233],"domain_scores_gemma":[0.9984261,0.0008080092,0.0002120061,0.00006117917,0.0003531276,0.0001396335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003017555,0.00007512951,0.9450334,0.00025937,0.0001059594,0.001256576,0.001795986,0.0003072678,0.03325421,0.000110792,0.0004845235,0.01701504],"study_design_scores_gemma":[0.00002209691,0.0003271381,0.9922796,0.0001009257,0.00004901741,0.001479676,0.0008097003,0.0006452728,0.002916765,0.0000415046,0.001311331,0.00001699764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918954,0.002441147,0.0006720244,0.0003398789,0.00006883361,0.00007337298,0.0001665836,0.00002864427,0.004314243],"genre_scores_gemma":[0.9987005,0.000241289,0.0006339226,0.00005316241,0.000007935977,0.00001436691,0.00005459597,0.000002786571,0.0002914993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08416322,"threshold_uncertainty_score":0.1673467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397844129460704,"score_gpt":0.3038090245148729,"score_spread":0.2898305832202658,"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."}}