{"id":"W3183060332","doi":"10.21203/rs.3.rs-708161/v1","title":"The Perioperative Quality Improvement Programme (PQIP Patient Study): Protocol for a UK Multicentre, Prospective Cohort Study to Measure, Report and Improve Quality and Outcomes of Major Surgery","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Royal College of Anaesthetists; University College London; Department of Health and Social Care; University College London Hospitals NHS Foundation Trust; National Institute for Health and Care Research","keywords":"Medicine; Perioperative; Protocol (science); Prospective cohort study; Quality (philosophy); Quality management; Cohort; Measure (data warehouse); Cohort study; Physical therapy; Medical physics; Surgery; Operations management; Alternative medicine; Internal medicine; Data mining; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02737603,0.00331001,0.003958172,0.002310425,0.004555586,0.003846141,0.002576097,0.003293964,0.04191909],"category_scores_gemma":[0.02960886,0.003083899,0.003545317,0.004869116,0.002961558,0.002715802,0.00429429,0.004239882,0.01182672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005705713,"about_ca_system_score_gemma":0.01615701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01373629,"about_ca_topic_score_gemma":0.01452786,"domain_scores_codex":[0.9792326,0.01097909,0.005069653,0.001562132,0.001565544,0.001590979],"domain_scores_gemma":[0.9816534,0.003621718,0.004054726,0.00380851,0.004977495,0.001884201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.4034579,0.0218332,0.08853418,0.02856768,0.002750557,0.001458371,0.009546096,0.007134975,0.004600359,0.01666305,0.3140582,0.1013954],"study_design_scores_gemma":[0.3515729,0.03284844,0.2903557,0.009968122,0.00189693,0.000775239,0.004317802,0.003887175,0.003403631,0.007401944,0.292588,0.0009842279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01952422,0.0003007866,0.005036629,0.0006239907,0.0003478086,0.9144074,0.05539348,0.000226132,0.004139547],"genre_scores_gemma":[0.007407243,0.0001307389,0.00371421,0.0001790553,0.00005013153,0.9787405,0.008789476,0.00002699816,0.0009615435],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04191909,"threshold_uncertainty_score":0.1447801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178527097798442,"score_gpt":0.4763176390876054,"score_spread":0.3584649293077612,"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."}}