{"id":"W2212344635","doi":"10.1308/rcsann.2015.0027","title":"Challenges in reporting surgical site infections to the national surgical site infection surveillance and suggestions for improvement","year":2015,"lang":"en","type":"article","venue":"Annals of The Royal College of Surgeons of England","topic":"Surgical site infection prevention","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Benchmarking; Surgical site infection; Retrospective cohort study; Medical record; Quarter (Canadian coin); Data collection; MEDLINE; Data quality; Public health; Under-reporting; Medical emergency; Family medicine; Emergency medicine; Surgery; Nursing; Geography; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004964019,0.0001437425,0.0004873358,0.0002230262,0.00009294158,0.000005909287,0.00006399062,0.0001155694,0.00003080709],"category_scores_gemma":[0.003158645,0.0000966425,0.0002585566,0.0005075616,0.0001095962,0.0000628135,0.0001064294,0.0001711757,0.000001076422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004200077,"about_ca_system_score_gemma":0.0001283383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008647401,"about_ca_topic_score_gemma":0.002816229,"domain_scores_codex":[0.9977725,0.0002300392,0.001066569,0.0002496848,0.0004704216,0.0002107963],"domain_scores_gemma":[0.9965261,0.001234141,0.0007239779,0.0002256589,0.001157032,0.0001331196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001203713,0.0009657103,0.9835616,0.0002489873,0.0001746624,0.00001151184,0.0003221718,0.004079655,0.0003625918,0.001394735,0.001044447,0.006630167],"study_design_scores_gemma":[0.003917675,0.0009620507,0.9054868,0.0003202311,0.00005329542,0.0001516932,0.00006914476,0.0008998633,0.002844061,0.0006839103,0.08443911,0.0001721848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905065,0.0003940739,0.00003426618,0.006118899,0.0001861427,0.0008049716,0.0002043224,0.00001778357,0.001733039],"genre_scores_gemma":[0.9992054,0.0002038531,0.00004510373,0.00002894915,0.0001041352,0.00007750869,0.00001880008,0.00001232581,0.0003039753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08339467,"threshold_uncertainty_score":0.3940967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165953952191435,"score_gpt":0.3606570131751225,"score_spread":0.244061617955979,"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."}}