{"id":"W1511657256","doi":"10.1111/j.1939-1676.2010.0552.x","title":"The Acute Patient Physiologic and Laboratory Evaluation (APPLE) Score: A Severity of Illness Stratification System for Hospitalized Dogs","year":2010,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":247,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Triage; Logistic regression; Intensive care unit; Emergency medicine; Receiver operating characteristic; Medical record; Severity of illness; Intensive care 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":[0.003198146,0.0008379563,0.0004847555,0.002115281,0.0002150636,0.0009152963,0.0007229666,0.0004580428,0.001165987],"category_scores_gemma":[0.007365223,0.000206619,0.0007919068,0.0006618861,0.000294265,0.0007069592,0.0008257535,0.0005600922,0.0003679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008452028,"about_ca_system_score_gemma":0.0010621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003852017,"about_ca_topic_score_gemma":0.004605236,"domain_scores_codex":[0.9989734,0.0004333734,0.0001437766,0.0001734543,0.0002077118,0.00006838736],"domain_scores_gemma":[0.9973096,0.0008241601,0.000979254,0.0001360869,0.000530843,0.0002200509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005549376,0.0001380553,0.9576926,0.00007581239,0.00019972,0.00005374243,0.0000678305,0.008264616,0.0007771885,0.0002055936,0.002418535,0.02955131],"study_design_scores_gemma":[0.0001327405,0.00165833,0.7957346,0.0001023424,0.0002594939,0.0005502892,0.0002503554,0.196274,0.001220038,0.001034031,0.002728714,0.00005498472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531248,0.0005667662,0.03946789,0.000827892,0.00006604834,0.0004246563,0.003558012,0.0005855464,0.001378348],"genre_scores_gemma":[0.973594,0.0001412955,0.02200261,0.0000674305,0.00003411091,0.0002182466,0.003624025,0.00001686141,0.0003014766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003852017,"threshold_uncertainty_score":0.01691359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06338224271878841,"score_gpt":0.3726799030721208,"score_spread":0.3092976603533324,"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."}}