{"id":"W3126767661","doi":"10.1007/s00268-021-05964-1","title":"Expert Consensus of Data Elements for Collection for Enhanced Recovery After Cardiac Surgery","year":2021,"lang":"en","type":"article","venue":"World Journal of Surgery","topic":"Enhanced Recovery After Surgery","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; St. Boniface Hospital; Libin Cardiovascular Institute of Alberta; Foothills Medical Centre; University of Calgary","funders":"","keywords":"Cardiac surgery; Vascular surgery; Medicine; Data collection; Accountability; Multidisciplinary approach; Comparative effectiveness research; Cardiothoracic surgery; Standardization; Reimbursement; Voting; Delphi method; Likert scale; Medical physics; Health care; Statistics; Computer science; Surgery; Alternative medicine; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030363,0.0002606728,0.00171858,0.0008442059,0.00007445756,0.00002977977,0.0001203534,0.000117619,0.0001718923],"category_scores_gemma":[0.002796594,0.0002483434,0.00130596,0.0007374627,0.00007310136,0.0003711452,0.00007730239,0.0002163243,0.000002093113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001750786,"about_ca_system_score_gemma":0.001486207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006511897,"about_ca_topic_score_gemma":0.00002497481,"domain_scores_codex":[0.996492,0.0001911699,0.001955949,0.0004052021,0.0004928209,0.0004629098],"domain_scores_gemma":[0.9882378,0.00831771,0.001217736,0.0007044142,0.00131508,0.0002072535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01733867,0.0006495627,0.04928542,0.001089316,0.002161303,0.0002926035,0.00009817618,0.00000630491,0.137519,0.000002974417,0.7175121,0.07404456],"study_design_scores_gemma":[0.001880276,0.0002634008,0.02030064,0.004109865,0.0008294401,0.0003854773,0.000283167,0.00005834379,0.6949202,0.0002249143,0.2760822,0.0006620322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955127,0.01672413,0.01105297,0.002119931,0.01283552,0.0009102923,0.0008584128,0.0000347047,0.0003370477],"genre_scores_gemma":[0.9579735,0.00618065,0.0257255,0.001249355,0.002515285,0.0001781241,0.0005514846,0.0001415531,0.005484489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5574012,"threshold_uncertainty_score":0.9999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07188727078997173,"score_gpt":0.3252485330405845,"score_spread":0.2533612622506127,"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."}}