{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09030508,0.0006759556,0.0009278384,0.0009392241,0.0007917382,0.004349783,0.002843245,0.002535947,0.006623244],"category_scores_gemma":[0.402106,0.0007732434,0.001991826,0.001379799,0.002791434,0.004322171,0.001645633,0.003075691,0.001186764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005204645,"about_ca_system_score_gemma":0.002813411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974082,"about_ca_topic_score_gemma":0.01055146,"domain_scores_codex":[0.8848575,0.08926854,0.005637029,0.005681853,0.01274531,0.001809714],"domain_scores_gemma":[0.2778174,0.6237844,0.0456999,0.03429333,0.01629147,0.002113588],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007559291,0.0004243976,0.5655577,0.001569902,0.003814476,0.000840984,0.002252267,0.2490588,0.002354122,0.02751641,0.0372094,0.1018422],"study_design_scores_gemma":[0.001395111,0.004132063,0.4532998,0.002402161,0.002429035,0.001911512,0.002157985,0.3828722,0.02430937,0.08557355,0.038729,0.0007881857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8291646,0.005665373,0.08402985,0.03767084,0.001013304,0.0006246977,0.009101345,0.001305616,0.03142428],"genre_scores_gemma":[0.9890829,0.0001867418,0.007351224,0.001893476,0.0001119831,0.00005062312,0.0005558338,0.00009025235,0.0006769227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9096949,"threshold_uncertainty_score":0.4775847,"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."}}