{"id":"W2935712653","doi":"10.1111/anae.14562","title":"Outcomes following surgery: are we measuring what really matters?","year":2019,"lang":"en","type":"letter","venue":"Anaesthesia","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Health and Care Research; National Institutes of Health; Ministerul Cercetării, Inovării şi Digitalizării","keywords":"Medicine; Minimal clinically important difference; Quality of life (healthcare); Physical therapy; Randomized controlled trial; Surgery; Nursing","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000873035,0.0009588806,0.00429891,0.0006041552,0.0001300776,0.0003515347,0.0003600965,0.001315896,0.0001617898],"category_scores_gemma":[0.0001875286,0.0007654406,0.004515541,0.000320032,0.0000799315,0.0004560057,0.00007138602,0.001743271,0.001035548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433076,"about_ca_system_score_gemma":0.0002596184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001209393,"about_ca_topic_score_gemma":0.000008163423,"domain_scores_codex":[0.9950376,0.0003563939,0.0008935067,0.00101242,0.001589752,0.001110349],"domain_scores_gemma":[0.9960299,0.001660164,0.0004531487,0.001534368,0.0001090981,0.0002133271],"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":[0.00003204375,0.00003097884,0.3015313,0.0005505681,0.0007700386,0.02119965,0.00009412137,9.321759e-7,0.000002610515,0.00001501942,0.6703996,0.00537319],"study_design_scores_gemma":[0.0005779918,0.00005110634,0.08573414,0.002270426,0.0008929466,0.000282165,0.0001607003,0.00000205981,0.00001101403,0.00001489035,0.9092197,0.0007828255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01678176,0.003918365,0.00001051503,0.9742347,0.001472707,0.0007823909,0.000005081795,0.0003243511,0.002470144],"genre_scores_gemma":[0.006427686,0.00310061,0.0001317602,0.9588239,0.001599887,0.00006301518,0.0002464247,0.00032459,0.02928208],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2388201,"threshold_uncertainty_score":0.9999806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04202650914081204,"score_gpt":0.2636112963838715,"score_spread":0.2215847872430594,"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."}}