{"id":"W3145190647","doi":"10.1145/3448106","title":"The Design and Evaluation of a Mobile System for Rapid Diagnostic Test Interpretation","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Bill and Melinda Gates Foundation","keywords":"Computer science; Metadata; Point-of-care testing; Diagnostic test; Malaria; Interpretation (philosophy); Rapid diagnostic test; Test (biology); Health care; Healthcare system; Limiting; Risk analysis (engineering); Medicine; Engineering; Pathology; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001836043,0.0008577625,0.000614778,0.0006150954,0.0005254538,0.001358137,0.001879094,0.001503816,0.004128404],"category_scores_gemma":[0.005301983,0.0004320116,0.0003605912,0.0002394317,0.0003883413,0.00119492,0.0008473013,0.0005469134,0.001651287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00072266,"about_ca_system_score_gemma":0.001238251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00248832,"about_ca_topic_score_gemma":0.001888303,"domain_scores_codex":[0.9980928,0.0004422887,0.00017655,0.0003984749,0.0007115012,0.0001782764],"domain_scores_gemma":[0.9972306,0.0007388019,0.0001455369,0.0001836277,0.001458062,0.0002433944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005424288,0.002375628,0.02607235,0.002180456,0.0003311462,0.003538912,0.002073908,0.01191441,0.381515,0.00473796,0.01967974,0.5401562],"study_design_scores_gemma":[0.001773113,0.02489726,0.03755825,0.0004961495,0.0008682531,0.006609429,0.001520515,0.4334942,0.3841796,0.002151134,0.1059798,0.0004722612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.481738,0.001404759,0.4768066,0.002410028,0.0008877564,0.008644473,0.001048152,0.01615347,0.01090672],"genre_scores_gemma":[0.6280272,0.0004907144,0.3576989,0.001368439,0.0001373482,0.002014202,0.0008413719,0.0003094656,0.009112317],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004128404,"threshold_uncertainty_score":0.01381087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321384168404913,"score_gpt":0.2478802340396517,"score_spread":0.2346663923556025,"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."}}