{"id":"W4281788565","doi":"10.2196/37484","title":"Identifying Patients With Heart Failure Who Are Susceptible to De Novo Acute Kidney Injury: Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Renal function; Acute kidney injury; Hazard ratio; Internal medicine; Kidney disease; Logistic regression; Cardiology; Heart failure; Incidence (geometry); Intensive care medicine; Confidence interval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001589451,0.0006744518,0.0007713836,0.002068239,0.0003473281,0.0007269502,0.0006003006,0.0006928889,0.0006896129],"category_scores_gemma":[0.004767551,0.0001648185,0.0006543034,0.0007304007,0.0002634578,0.0004514675,0.0004530449,0.0008033706,0.0002316111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00046787,"about_ca_system_score_gemma":0.0008344059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002387736,"about_ca_topic_score_gemma":0.002346134,"domain_scores_codex":[0.9993891,0.0002660255,0.00005386499,0.0001557277,0.00007413983,0.00006127651],"domain_scores_gemma":[0.9975837,0.001618194,0.000333492,0.0001098272,0.0002529608,0.0001017862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005723972,0.000931574,0.7621156,0.00009670144,0.0004903688,0.0002794663,0.0001739479,0.09631693,0.001953303,0.0006120987,0.001614702,0.1348428],"study_design_scores_gemma":[0.00003713901,0.0002840661,0.09840209,0.0000422792,0.0001090829,0.0003206739,0.0001313257,0.895762,0.0008344384,0.0035137,0.0005339453,0.00002930268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8729371,0.000803467,0.122562,0.001003699,0.00006130642,0.0001520564,0.0008091685,0.0002966258,0.001374478],"genre_scores_gemma":[0.9743977,0.0001309366,0.02430063,0.0001017992,0.00005932483,0.00006456123,0.0006666487,0.000008038986,0.0002703041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002387736,"threshold_uncertainty_score":0.008405924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569076748890476,"score_gpt":0.3156775945977432,"score_spread":0.2999868271088384,"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."}}