{"id":"W2908409949","doi":"10.1111/anae.14502","title":"Patient optimisation before surgery: a clear and present challenge in peri‐operative care","year":2019,"lang":"en","type":"editorial","venue":"Anaesthesia","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Association of Anaesthetists; National Institute for Health and Care Research","keywords":"Medicine; Anxiety; Vignette; Surgical team; Perioperative; Health care; Isolation (microbiology); Physical therapy; Psychiatry; Surgery; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002828163,0.0004248269,0.001614762,0.0002682514,0.00005822518,0.00005285358,0.00007331701,0.0008199816,0.00004531268],"category_scores_gemma":[0.000334379,0.0003420671,0.0004461318,0.0001469523,0.00008738654,0.00009589631,0.00004837855,0.0006390257,0.00004441457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002835818,"about_ca_system_score_gemma":0.0004551943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003988209,"about_ca_topic_score_gemma":0.0001085739,"domain_scores_codex":[0.9974692,0.0002278608,0.0004783793,0.0006167634,0.0008274041,0.0003803723],"domain_scores_gemma":[0.9983739,0.000611107,0.0001507587,0.0004483503,0.000228435,0.0001874356],"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":[0.002370214,0.0005608971,0.05766154,0.002476462,0.0005400893,0.004135054,0.04364411,0.00004940313,0.000002501226,0.000774551,0.6675505,0.2202347],"study_design_scores_gemma":[0.0008075744,0.001078554,0.01046113,0.0004853564,0.000146466,0.00001586532,0.001789183,0.00003132611,0.00000408875,0.000003997705,0.9848449,0.0003315622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6349332,0.02501911,0.000002250497,0.007847543,0.3077623,0.005225926,0.0001123747,0.0002455706,0.01885164],"genre_scores_gemma":[0.5251473,0.01516216,0.000272546,0.0005513679,0.4512762,0.0003999544,0.002485643,0.0003625134,0.004342311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3172944,"threshold_uncertainty_score":0.9999031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009260640131037097,"score_gpt":0.2650087167841537,"score_spread":0.2557480766531166,"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."}}