{"id":"W2268031904","doi":"10.1161/circoutcomes.7.suppl_1.5","title":"Abstract 5: Another Inconvenient Truth: The Pernicious Effects of Hospital Case Volumes on the Accuracy of Hospital Report Cards","year":2014,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Ranking (information retrieval); Correlation; Statistics; Volume (thermodynamics); Emergency medicine; Mathematics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007084871,0.0001670552,0.0006255014,0.00005580072,0.0006331241,0.000011788,0.0001353259,0.0001962832,0.00003280389],"category_scores_gemma":[0.0102646,0.00009394065,0.0005296809,0.0001189139,0.000181907,0.0001125762,0.00005605738,0.0004341921,0.00001368964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006468343,"about_ca_system_score_gemma":0.000124232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009177749,"about_ca_topic_score_gemma":0.00001244609,"domain_scores_codex":[0.9964436,0.001204836,0.001125029,0.000221943,0.0007492224,0.0002553916],"domain_scores_gemma":[0.9922459,0.005715645,0.0008032848,0.0008641675,0.000285789,0.000085229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000610302,0.0002582335,0.8708876,0.006784369,0.001806399,0.00008443493,0.04273045,0.0006530567,0.0000182104,0.02351508,0.0009282512,0.05227289],"study_design_scores_gemma":[0.0008883206,0.0000960174,0.9918711,0.000201172,0.0001470075,0.00001293112,0.002241289,0.0004009521,0.00003743907,0.0004708194,0.00349306,0.0001398751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909129,0.0004469398,0.002252589,0.002792003,0.001565389,0.001147742,0.00001702179,0.00003608144,0.0008293901],"genre_scores_gemma":[0.998859,0.00005170834,0.00001918055,0.0007406907,0.0002013153,0.00007273768,0.00001733132,0.00001404414,0.00002392748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1209835,"threshold_uncertainty_score":0.9980724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028084834133316,"score_gpt":0.3967257709583644,"score_spread":0.2939172875450328,"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."}}