{"id":"W2031007475","doi":"10.3310/hta15300","title":"Identification of risk factors by systematic review and development of risk-adjusted models for surgical site infection.","year":2011,"lang":"en","type":"article","venue":"Health Technology Assessment","topic":"Surgical site infection prevention","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Technology Assessment Programme; Economic and Social Research Council; National Institute for Health and Care Research","keywords":"Medicine; Surgical site infection; Context (archaeology); Risk assessment; Risk factor; Identification (biology); Scale (ratio); Risk management; Medical emergency; Emergency medicine; Surgery; Internal medicine; Computer science; Business","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":[0.001761741,0.0001488373,0.0008900069,0.0002932066,0.00012579,0.000002306761,0.00005263861,0.0002088216,0.00006635961],"category_scores_gemma":[0.0002544494,0.0001210391,0.00008663204,0.000374956,0.00008437628,0.0000753688,0.00003875747,0.0002383929,0.000002386144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993083,"about_ca_system_score_gemma":0.000153081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001551477,"about_ca_topic_score_gemma":0.00002641647,"domain_scores_codex":[0.9976308,0.000226071,0.001482268,0.0002738376,0.0001968859,0.0001901574],"domain_scores_gemma":[0.9974869,0.0002099496,0.001635588,0.0003099928,0.0002719209,0.00008565019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001764366,0.003020983,0.4881288,0.4784232,0.00105331,0.000002195278,0.001535482,0.00001527033,0.0005681806,0.007140597,0.0001901182,0.01974545],"study_design_scores_gemma":[0.01556515,0.003444807,0.832602,0.07951105,0.007450863,0.000298301,0.001927204,0.004261718,0.04298443,0.00922942,0.001400471,0.001324573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533227,0.009010978,0.1331946,0.0001925554,0.00008902141,0.003894563,0.00008411597,0.0001771633,0.00003429336],"genre_scores_gemma":[0.9869803,0.00800789,0.004478589,0.00002247982,0.000003185566,0.000398681,0.00007724641,0.00001451411,0.00001715356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3989122,"threshold_uncertainty_score":0.4935833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271047669791225,"score_gpt":0.3646315170331936,"score_spread":0.3119210403352813,"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."}}