{"id":"W4409717407","doi":"10.1055/a-2499-4207","title":"Validation of an Algorithm to Classify Urine Cultures in Family Medicine","year":2025,"lang":"en","type":"article","venue":"Applied Clinical Informatics","topic":"Urinary Tract Infections Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; NOSM University","funders":"","keywords":"Workload; Urine; Computer science; Primary health care; Automation; Algorithm; Primary care; Medicine; Data mining; Machine learning; Family medicine; Internal medicine","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":[0.01200613,0.000771119,0.0006502235,0.002723844,0.000727114,0.00235759,0.001220272,0.0008344598,0.001059821],"category_scores_gemma":[0.03486248,0.0002825524,0.0004779923,0.001303709,0.0004907612,0.001180804,0.001263898,0.0006164999,0.000629978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278149,"about_ca_system_score_gemma":0.001703773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004327835,"about_ca_topic_score_gemma":0.003354711,"domain_scores_codex":[0.9932081,0.002954395,0.001035427,0.001211076,0.001368129,0.0002228963],"domain_scores_gemma":[0.9780009,0.01072937,0.001549831,0.001404951,0.008041347,0.0002736858],"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":[0.003074869,0.0007934821,0.3760591,0.0007002184,0.0004106503,0.0005313234,0.001520591,0.03444644,0.02680607,0.00257524,0.01058033,0.5425017],"study_design_scores_gemma":[0.0004108657,0.0009989024,0.1352301,0.0003154426,0.000247619,0.001310273,0.001288824,0.7917082,0.05410073,0.002835628,0.0114594,0.00009395662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5608671,0.0006735384,0.4266447,0.0007753348,0.0001544207,0.001629779,0.002011364,0.004293604,0.002950022],"genre_scores_gemma":[0.5454387,0.0001608588,0.4498754,0.0002278025,0.00005055559,0.0006518654,0.002157317,0.0001392684,0.001298169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01200613,"threshold_uncertainty_score":0.06349528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05485086698920839,"score_gpt":0.422585356662208,"score_spread":0.3677344896729996,"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."}}