{"id":"W2802881649","doi":"10.1039/c8an00157j","title":"Design of a wearable device for real-time screening of urinary tract infection and kidney disease based on smartphone","year":2018,"lang":"en","type":"article","venue":"The Analyst","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"CMC Microsystems (Canada)","funders":"Xinjiang University; Regionale forskningsfond Oslofjordfondet; National Natural Science Foundation of China; Chongqing Municipal Education Commission; Norges Forskningsråd; Chongqing Technology and Business University; Chongqing Science and Technology Commission","keywords":"Wearable computer; Urine; Medicine; Urinary system; Biomedical engineering; Computer science; Internal medicine; Embedded system","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":[],"consensus_categories":[],"category_scores_codex":[0.0002308201,0.00006917833,0.0001284999,0.00007339335,0.00005448207,0.000007445257,0.00003360616,0.00003019578,0.00003092334],"category_scores_gemma":[0.00004533882,0.00005087659,0.00005467814,0.0001862572,0.00004867044,0.00003857869,0.000005149414,0.00004074411,0.000003436873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009213955,"about_ca_system_score_gemma":0.000009582222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000097711,"about_ca_topic_score_gemma":0.000001699224,"domain_scores_codex":[0.9995896,0.0000340453,0.0001326034,0.00008125039,0.00007290156,0.00008965856],"domain_scores_gemma":[0.9996039,0.0001094632,0.00003817887,0.0001367044,0.00004603142,0.00006573517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002294209,0.0005838927,0.004981827,0.001069472,0.0004962443,0.000005678685,0.0002073398,0.2998915,0.6762033,0.00009245377,0.00193401,0.01224014],"study_design_scores_gemma":[0.0002597574,0.0003391274,0.0123202,0.0001030205,0.0001552533,8.038427e-7,0.000003991231,0.9659403,0.02064353,0.00004849198,0.0001235933,0.00006195714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7657272,0.00006077719,0.2331772,0.0001409508,0.00003929621,0.0002335385,0.00002372137,0.00007097754,0.0005263045],"genre_scores_gemma":[0.9986174,0.00003737454,0.001177964,0.00002575579,0.00005506551,0.000004853048,0.000003461014,0.00001114843,0.00006704451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6660488,"threshold_uncertainty_score":0.2074687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189748953415948,"score_gpt":0.2358465620117332,"score_spread":0.2168716666701384,"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."}}