{"id":"W3204196741","doi":"10.7759/cureus.18307","title":"Frequency of Electrolyte Imbalance in Patients Presenting With Acute Stroke","year":2021,"lang":"en","type":"article","venue":"Cureus","topic":"Electrolyte and hormonal disorders","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Medicine; Stroke (engine); Neurology; Electrolyte Disorder; Acute stroke; Internal medicine; Serum electrolytes; Magnetic resonance imaging; Tertiary care; Emergency department; Computed tomography; Emergency medicine; Surgery; Hyponatremia; Radiology; Psychiatry","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":[0.0001986445,0.0001563499,0.0003228696,0.0008062192,0.0003696904,0.0004825945,0.0001859683,0.0003014768,0.002607355],"category_scores_gemma":[0.00136743,0.0001125416,0.0001746241,0.0009710513,0.0001731164,0.0003888955,0.0002574754,0.0003161167,0.0002575734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843627,"about_ca_system_score_gemma":0.0002566873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001509564,"about_ca_topic_score_gemma":0.001744485,"domain_scores_codex":[0.9997161,0.00004474162,0.00006637263,0.00004638199,0.00007497101,0.00005140975],"domain_scores_gemma":[0.9990922,0.0001263328,0.0005428745,0.00001766882,0.00008638385,0.0001346115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003344316,0.00002089252,0.9986392,0.00001495577,0.000008177511,0.0001410608,0.00005502757,0.000007992247,0.00009019636,0.00000486056,0.00007243875,0.000911949],"study_design_scores_gemma":[0.000002348194,0.00007700177,0.9980606,0.00001240889,0.000007396397,0.001376725,0.0002448236,0.00003133757,0.00003894352,0.00001899897,0.000126679,0.000002652284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979661,0.0004371237,0.00005346211,0.0001144381,0.00001066265,0.00001498041,0.0003514738,0.000005757533,0.001045946],"genre_scores_gemma":[0.999294,0.0002367645,0.00007450652,0.00004104243,0.00002000905,0.000007664888,0.0001957347,5.983359e-7,0.0001295908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002607355,"threshold_uncertainty_score":0.008722425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005582769223063022,"score_gpt":0.2386424115519591,"score_spread":0.2330596423288961,"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."}}