{"id":"W4213227945","doi":"10.53607/wrb.v35.34","title":"Urine Trouble! Different Shades of Yellow and How Urinalysis Can Help Our Patients","year":2017,"lang":"en","type":"article","venue":"Wildlife Rehabilitation Bulletin","topic":"Veterinary Medicine and Surgery","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Urinalysis; Technician; Wildlife; Test (biology); Medicine; Urine; Biology; Internal medicine; Engineering; Ecology","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":[0.0006882452,0.0008814247,0.0009777625,0.001019202,0.001996931,0.001886584,0.0006955005,0.004189163,0.03380704],"category_scores_gemma":[0.004500605,0.0002619062,0.001102282,0.0004726388,0.001295851,0.004068193,0.001601573,0.005344987,0.01525837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005088077,"about_ca_system_score_gemma":0.0006159229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002183289,"about_ca_topic_score_gemma":0.003003759,"domain_scores_codex":[0.9993457,0.0001821865,0.00005818739,0.00005718315,0.0002036372,0.0001532181],"domain_scores_gemma":[0.9989028,0.0001689144,0.0001209737,0.00005487479,0.0002276852,0.0005247344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003986791,0.0008154497,0.01077886,0.001113035,0.0001050675,0.02076003,0.001635726,0.0002331355,0.005641239,0.002777047,0.7056078,0.250134],"study_design_scores_gemma":[0.0001705437,0.00116695,0.01722783,0.003324418,0.0001487574,0.1402237,0.005416043,0.0004826486,0.00384722,0.01064018,0.8170019,0.0003498431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04766219,0.1650103,0.02489834,0.5213181,0.0422612,0.0004811211,0.001145662,0.005564117,0.191659],"genre_scores_gemma":[0.2552454,0.1460181,0.05420135,0.3245483,0.03085877,0.0005887639,0.0009621097,0.001736454,0.1858408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03380704,"threshold_uncertainty_score":0.1130958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03384704259338984,"score_gpt":0.2928510441053315,"score_spread":0.2590040015119416,"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."}}