{"id":"W4308576052","doi":"10.34067/kid.0005562022","title":"A Machine Learning Model to Predict Diuretic Resistance","year":2022,"lang":"en","type":"article","venue":"Kidney360","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seven Oaks General Hospital; University of Manitoba","funders":"","keywords":"Diuretic; Machine learning; Computer science; Artificial intelligence; Intensive care unit; Ensemble learning; Ensemble forecasting; Data mining; Intensive care medicine; 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":[0.001874264,0.001116377,0.0009274207,0.001243414,0.0004103569,0.0009350271,0.001104444,0.001031187,0.002098391],"category_scores_gemma":[0.004520299,0.0003604785,0.0008971457,0.0007979159,0.0002283651,0.0006395275,0.0005237525,0.001284597,0.0006516858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007998873,"about_ca_system_score_gemma":0.0009280111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008587178,"about_ca_topic_score_gemma":0.005540955,"domain_scores_codex":[0.9994821,0.0001873094,0.00003729167,0.0001482578,0.00007694322,0.0000680839],"domain_scores_gemma":[0.9976869,0.001675625,0.0001496566,0.00007236029,0.0003536351,0.00006189315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000221738,0.0002218603,0.02314662,0.00004970069,0.0002034755,0.0001609464,0.00005569634,0.9152368,0.0005147673,0.000726859,0.002393193,0.05706833],"study_design_scores_gemma":[0.000006989591,0.00002950509,0.0008999961,0.00000704372,0.00001539112,0.00002282701,0.000003793827,0.9981179,0.00009242672,0.0006249702,0.0001742033,0.000004919673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5114626,0.002126537,0.4730665,0.001776419,0.0003310392,0.0002663309,0.003164942,0.001926829,0.005878774],"genre_scores_gemma":[0.9530466,0.0003063533,0.04230709,0.0001940828,0.00009960958,0.0002123402,0.001599864,0.00004519677,0.002188805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008587178,"threshold_uncertainty_score":0.01707441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712315107756986,"score_gpt":0.3079632175284191,"score_spread":0.2808400664508492,"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."}}