{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003088267,0.000757582,0.0007389273,0.0005129508,0.0001914653,0.0004785357,0.0009906882,0.0008102456,0.00361883],"category_scores_gemma":[0.0005081197,0.0002930265,0.0004453371,0.0002113224,0.0001187779,0.0005622282,0.0005885858,0.0002238616,0.001422967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385509,"about_ca_system_score_gemma":0.000254483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004184555,"about_ca_topic_score_gemma":0.0005104345,"domain_scores_codex":[0.9996009,0.00006528047,0.00003959495,0.0001164557,0.0001221421,0.00005568176],"domain_scores_gemma":[0.9997293,0.0000467479,0.00002560736,0.00002625503,0.0001389942,0.00003310613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001563263,0.0005284323,0.02476995,0.002849233,0.0003015037,0.004508211,0.0007799125,0.002687542,0.490696,0.002934532,0.02330323,0.4450782],"study_design_scores_gemma":[0.0008300815,0.01271911,0.1236128,0.000858545,0.00176795,0.02914802,0.00138254,0.202254,0.4272603,0.002410376,0.1969666,0.0007896204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2643056,0.005363578,0.6951148,0.001485976,0.001708561,0.002563447,0.001982188,0.007308384,0.02016745],"genre_scores_gemma":[0.7466754,0.001680145,0.2330631,0.001435467,0.0002370507,0.001603107,0.000908903,0.0001290325,0.01426788],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00361883,"threshold_uncertainty_score":0.01210624,"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."}}