{"id":"W2007165355","doi":"10.4236/wjcs.2013.35034","title":"Customized Prediction of Short Length of Stay Following Elective Cardiac Surgery in Elderly Patients Using a Genetic Algorithm","year":2013,"lang":"en","type":"article","venue":"World Journal of Cardiovascular Surgery","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Medicine; Heart failure; Cardiac surgery; Surgery; Algorithm; Psychological intervention; Internal medicine; Cardiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009212787,0.0006389764,0.00069223,0.0009651584,0.0001650102,0.0004749792,0.000507259,0.0004566164,0.0006392216],"category_scores_gemma":[0.003453681,0.0001788026,0.0005843438,0.0004716125,0.000193801,0.0002496854,0.000362696,0.0003494721,0.0001220258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005481387,"about_ca_system_score_gemma":0.0009363426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008170862,"about_ca_topic_score_gemma":0.006198175,"domain_scores_codex":[0.9996927,0.0001193534,0.00002707909,0.00008981171,0.00003853364,0.00003258496],"domain_scores_gemma":[0.9990159,0.0005898343,0.0001658928,0.00003746137,0.0001391188,0.00005173669],"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":[0.0006425887,0.0004714226,0.2484326,0.00004485113,0.0004659528,0.0003090259,0.00006567839,0.6564302,0.001648589,0.0002987728,0.001035576,0.09015466],"study_design_scores_gemma":[0.00005179695,0.000192509,0.01746314,0.000009255478,0.00005822282,0.000101958,0.00001725619,0.9813141,0.0003229816,0.0003437546,0.0001152153,0.000009839635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012976,0.000175418,0.09645884,0.0004061147,0.00002410577,0.0001180876,0.000355039,0.0004981239,0.0006665618],"genre_scores_gemma":[0.9684538,0.00005878989,0.03053968,0.0001133792,0.00002090066,0.00008092674,0.0004518581,0.00001419743,0.0002665919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008170862,"threshold_uncertainty_score":0.01624662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542997575159239,"score_gpt":0.2279196962960217,"score_spread":0.2124897205444294,"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."}}