{"id":"W2800549514","doi":"10.1097/sla.0000000000002767","title":"Evaluating Quality Metrics and Cost After Discharge","year":2018,"lang":"en","type":"article","venue":"Annals of Surgery","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; University Health Network; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Emergency medicine; Carotid endarterectomy; Emergency department; Retrospective cohort study; Health care; Psychological intervention; Cohort; Population; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009927936,0.0004852944,0.0005607009,0.005165496,0.0004686335,0.002287178,0.000706057,0.0004812752,0.001254722],"category_scores_gemma":[0.06214162,0.0001495444,0.001018517,0.008478253,0.0008776702,0.001754218,0.001285942,0.0006666934,0.0001422893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007304966,"about_ca_system_score_gemma":0.004599678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04870086,"about_ca_topic_score_gemma":0.04063457,"domain_scores_codex":[0.9906312,0.003960592,0.00126107,0.0005189293,0.002877949,0.0007503525],"domain_scores_gemma":[0.9312458,0.02139906,0.03200009,0.001305614,0.01069723,0.003352254],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006933609,0.00004325729,0.9890594,0.00006230183,0.0002287191,0.00002073191,0.0001215542,0.002265485,0.0000157314,0.0007123413,0.000552209,0.006848832],"study_design_scores_gemma":[0.00001630817,0.0002748631,0.9820924,0.0001420919,0.00009768696,0.00007383699,0.0007600033,0.01319006,0.0001097851,0.001974967,0.001241058,0.00002691921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776984,0.002861881,0.006218505,0.002495171,0.00005526356,0.0001668414,0.006545715,0.00003714145,0.003921251],"genre_scores_gemma":[0.9966294,0.0003051964,0.001309494,0.00005162856,0.00002398933,0.00004699826,0.001505653,0.000006987313,0.0001206072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9900721,"threshold_uncertainty_score":0.09683478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5194684786106716,"score_gpt":0.489301196908452,"score_spread":0.03016728170221955,"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."}}