{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003726534,0.00008942805,0.0002143682,0.00003757829,0.00001703241,0.00000505182,0.00005802815,0.00004507601,0.00004681892],"category_scores_gemma":[0.00003342232,0.00007515663,0.00004471651,0.0002044947,0.00002488509,0.00007026726,0.00001737792,0.0001578063,0.000003636199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003436875,"about_ca_system_score_gemma":0.0001458787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005612207,"about_ca_topic_score_gemma":0.0001778249,"domain_scores_codex":[0.9991842,0.00001661105,0.0001689376,0.0001720537,0.000211889,0.0002463312],"domain_scores_gemma":[0.9995543,0.00001510216,0.00006065681,0.0001883959,0.0001358468,0.00004574433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001293672,0.0003148619,0.8840982,0.00003286353,0.0001579535,0.00008792599,0.00009662168,0.000001410681,0.1141756,0.0003775902,0.0001466471,0.0003808829],"study_design_scores_gemma":[0.002051922,0.0004082432,0.9472839,0.00003355458,0.00008146377,0.00001289175,0.00002502336,0.00002981861,0.04966682,0.0002433111,0.00008025384,0.00008275286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807677,0.001074796,0.00003078154,0.0001888756,0.0000123278,0.0001335004,0.000006648539,0.00001365478,0.01777175],"genre_scores_gemma":[0.9983654,0.0002071393,0.0004446308,0.0001392044,0.0000229056,0.000008336843,0.00004227455,0.00001386269,0.000756253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06450881,"threshold_uncertainty_score":0.3064798,"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."}}