{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004145882,0.0002575822,0.0005542093,0.0001853863,0.0002671939,0.00007230968,0.0002395788,0.00009941352,0.0001449468],"category_scores_gemma":[0.001542351,0.0002173262,0.0001900626,0.00005652257,0.0001871273,0.0001092689,0.0001716506,0.0001448597,0.00002014244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000482383,"about_ca_system_score_gemma":0.00002011854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001833487,"about_ca_topic_score_gemma":0.00001058955,"domain_scores_codex":[0.998247,0.0002244274,0.0004060428,0.0004352241,0.000405552,0.000281753],"domain_scores_gemma":[0.9981073,0.0003239393,0.0004121935,0.0007894683,0.0001997913,0.0001673635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000829754,0.0006791407,0.9306443,0.0006077575,0.000145709,0.00006435176,0.00155692,0.000002942915,0.001555805,0.0001114584,0.0582378,0.005564024],"study_design_scores_gemma":[0.00181507,0.003207233,0.9536024,0.0002354842,0.00008775842,0.00003240951,0.001811654,0.00007433735,0.00002874075,0.0001105244,0.03868927,0.0003050898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501759,0.00007217539,0.00003228931,0.04875551,0.0002336236,0.000313095,0.00003964328,0.00004041005,0.0003373532],"genre_scores_gemma":[0.9974203,0.00004544453,0.001022502,0.0002343938,0.0001450773,0.00006128935,0.00004106314,0.00003106978,0.0009988387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04852112,"threshold_uncertainty_score":0.8862305,"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."}}