{"id":"W4415438944","doi":"10.1302/1358-992x.2025.10.141","title":"IDENTIFYING THE OPTIMAL MODEL FOR THE DELIVERY OF PREOPERATIVE REGIONAL ANAESTHESIA IN THE CONTEXT OF THE ONGOING LABOUR CRISIS","year":2025,"lang":"en","type":"article","venue":"Orthopaedic Proceedings","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Staffing; Perioperative; Context (archaeology); Cash flow; Operating room management; Arthroplasty; Case mix index; Workload","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00158321,0.0001710873,0.000470282,0.0000855698,0.0002549211,0.00003976288,0.0004482246,0.00008765721,0.000005546622],"category_scores_gemma":[0.0004479942,0.00006883287,0.000605838,0.0005758955,0.000307256,0.0001115058,0.00008104111,0.000309387,5.239027e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003999606,"about_ca_system_score_gemma":0.0002402237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001289176,"about_ca_topic_score_gemma":0.00003078843,"domain_scores_codex":[0.9985166,0.00005132465,0.0004557103,0.0002264711,0.0005085212,0.0002414184],"domain_scores_gemma":[0.9982599,0.0008929361,0.0001947533,0.0002504299,0.0003720706,0.0000298948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001962665,0.0003570496,0.4765809,0.001089267,0.000817822,0.00001505441,0.0651392,0.000490726,0.001342088,0.4261806,0.01489834,0.01112628],"study_design_scores_gemma":[0.006921518,0.0004241938,0.7064527,0.001961668,0.002164895,0.0002346433,0.1750149,0.0634675,0.002829469,0.001604192,0.03841398,0.0005102846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620189,0.001648805,0.0004847254,0.03312002,0.00006514223,0.001312465,0.000006827367,0.00001405329,0.001329088],"genre_scores_gemma":[0.992573,0.0003297788,0.0002379189,0.005411715,0.00006511104,0.0001671178,0.0000014348,0.00001333441,0.001200562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4245764,"threshold_uncertainty_score":0.2806923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614170306317959,"score_gpt":0.2849578408527001,"score_spread":0.2588161377895205,"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."}}