{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002692496,0.000110144,0.0006685146,0.0002408359,0.0001514034,0.000002550835,0.00009834154,0.00003047376,0.000192366],"category_scores_gemma":[0.0001633412,0.00008822487,0.00009470859,0.0001964274,0.0005371961,0.00005566646,0.0000602847,0.0003995046,0.000001251974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003814531,"about_ca_system_score_gemma":0.0000512534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006248843,"about_ca_topic_score_gemma":0.00004177963,"domain_scores_codex":[0.9988524,0.00024065,0.0005105428,0.0001364832,0.00005960194,0.000200365],"domain_scores_gemma":[0.9987365,0.0005310098,0.0004805341,0.0001047798,0.0001060465,0.00004114356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002289096,0.0004063972,0.03498828,0.00003079803,0.000273935,0.00008506874,0.001611616,0.0001812016,0.9133505,0.000554969,0.002859042,0.04336906],"study_design_scores_gemma":[0.02754526,0.05254066,0.5258618,0.001277423,0.001034444,0.01237587,0.04514883,0.0002537509,0.1394293,0.0007846526,0.1926773,0.001070692],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992356,0.002259954,0.002985276,0.001748886,0.0004572896,0.0001165861,0.00004102086,0.000004796,0.00003021107],"genre_scores_gemma":[0.9974023,0.0001005436,0.001957461,0.0003293999,0.00008054088,0.0000125429,0.0000104638,0.000009082276,0.00009764164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7739213,"threshold_uncertainty_score":0.3597706,"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."}}