{"id":"W2252463068","doi":"10.1016/s1701-2163(15)30540-5","title":"Urinary Dipstick Proteinuria Testing: Does Automated Strip Analysis Offer an Advantage Over Visual Testing?","year":2014,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Urinary Tract Infections Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"B.C. Women's Hospital & Health Centre; Child and Family Research Institute; Université de Sherbrooke; Children's & Women's Health Centre of British Columbia; Women's Health Research Institute; University of British Columbia","funders":"","keywords":"Dipstick; Medicine; Proteinuria; Urine; Creatinine; Urinary system; Urology; Automated method; Likelihood ratios in diagnostic testing; Internal medicine; Receiver operating characteristic; Artificial intelligence; Kidney; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0132432,0.000840895,0.00262713,0.001202846,0.0003969244,0.002802809,0.001904428,0.005600614,0.005765383],"category_scores_gemma":[0.05024685,0.0004468117,0.00136371,0.00159204,0.001406264,0.004217554,0.0004874943,0.002917214,0.001559571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113571,"about_ca_system_score_gemma":0.001388421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004594084,"about_ca_topic_score_gemma":0.01200837,"domain_scores_codex":[0.9936864,0.002452095,0.000602896,0.000675047,0.002202989,0.0003806418],"domain_scores_gemma":[0.9647183,0.02320042,0.003355037,0.001392345,0.005763195,0.001570697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01255284,0.0005692561,0.3846415,0.001935042,0.001427148,0.002710995,0.0005076753,0.0005913617,0.004670834,0.002365845,0.03754221,0.5504853],"study_design_scores_gemma":[0.003437534,0.01548667,0.7675669,0.01026375,0.005209036,0.04272633,0.00424614,0.01244867,0.008577301,0.01452411,0.1149159,0.0005977231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4912402,0.216486,0.01094511,0.2189569,0.01873343,0.0001657061,0.00148887,0.0005968194,0.04138704],"genre_scores_gemma":[0.9095204,0.0310618,0.009558299,0.03377552,0.01280891,0.00003882789,0.0004834225,0.0001626455,0.002590084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0132432,"threshold_uncertainty_score":0.07003754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348135053042358,"score_gpt":0.2689652164729842,"score_spread":0.2554838659425606,"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."}}