{"id":"W2339722308","doi":"10.1186/s12893-016-0131-8","title":"Debate: what is the best method to monitor surgical performance?","year":2016,"lang":"en","type":"letter","venue":"BMC Surgery","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"CUSUM; Medicine; Chart; Funnel plot; Process (computing); Statistics; Computer science; Confidence interval; Internal medicine; Publication bias","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006211222,0.000637329,0.001236741,0.0005520865,0.0004863979,0.001278682,0.001938308,0.0006972294,0.001058717],"category_scores_gemma":[0.005241632,0.0003265002,0.0005357828,0.001091878,0.0002439724,0.001228803,0.0005713767,0.001415434,0.007232608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660315,"about_ca_system_score_gemma":0.0002609452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001440057,"about_ca_topic_score_gemma":0.000001431027,"domain_scores_codex":[0.9908339,0.00103813,0.001535845,0.001538283,0.00381056,0.001243321],"domain_scores_gemma":[0.9225838,0.07422569,0.0005282448,0.001702199,0.0006821374,0.0002779613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003597317,0.000006390369,0.001592433,0.00003294021,0.00001400837,0.0001981956,0.00004812034,0.00001194272,0.000002342068,0.000006836687,0.6191526,0.3788982],"study_design_scores_gemma":[0.00008574886,0.00002239451,0.0002254209,0.0004125893,0.00002888376,0.00007753192,0.000164805,0.0001058186,0.0004184227,0.003488309,0.9944111,0.0005590421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001595126,0.002497797,0.2597772,0.7165438,0.01666113,0.0008153573,0.0002531341,0.0001893405,0.001667182],"genre_scores_gemma":[0.005273979,0.00204496,0.06309024,0.7421477,0.07931927,0.0009449959,0.000062643,0.0005431711,0.1065731],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3783392,"threshold_uncertainty_score":0.9999187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1763784860019385,"score_gpt":0.4289956163467832,"score_spread":0.2526171303448447,"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."}}