{"id":"W3161934018","doi":"10.2196/22973","title":"Usability of Rapid Cholera Detection Device (OmniVis) for Water Quality Workers in Bangladesh: Iterative Convergent Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Centre for Diarrhoeal Disease Research, Bangladesh; Grand Challenges Canada","keywords":"Usability; Computer science; Workflow; Mobile device; Medicine; Human–computer interaction; Database; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01505593,0.0001086381,0.000434152,0.0002321926,0.0000253482,0.00004577737,0.0002387484,0.00018999,0.0007230428],"category_scores_gemma":[0.002549254,0.00007450349,0.0001831932,0.0003681071,0.0001201266,0.000110936,0.00009531673,0.001170784,0.000003777095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297587,"about_ca_system_score_gemma":0.00007427257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001696503,"about_ca_topic_score_gemma":0.000367952,"domain_scores_codex":[0.9956579,0.001718185,0.0009833804,0.0001841185,0.001140584,0.0003158872],"domain_scores_gemma":[0.997654,0.00118314,0.00006648247,0.0001579545,0.0007046013,0.0002338309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001975822,0.003411086,0.01346462,0.001560249,0.001458064,0.0002984017,0.01333672,0.001047998,0.2805287,0.00008434732,0.001835747,0.6809983],"study_design_scores_gemma":[0.002592108,0.00133622,0.03104753,0.0003794545,0.00003605695,0.00003991888,0.007691304,0.08182833,0.8693666,0.0002914787,0.005211634,0.0001793998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669454,0.0002080339,0.03122883,0.0007820771,0.0005759626,0.000188974,0.000002022946,0.000007923904,0.00006077578],"genre_scores_gemma":[0.9988881,0.00006100598,0.0007423416,0.00001903533,0.0001731203,0.00001158168,0.000001303094,0.00001240184,0.00009113584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6808189,"threshold_uncertainty_score":0.7916812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1033369051568632,"score_gpt":0.4617643439913274,"score_spread":0.3584274388344642,"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."}}