{"id":"W2021406252","doi":"10.1016/j.surg.2014.03.005","title":"Measuring postoperative recovery: What are clinically meaningful differences?","year":2014,"lang":"en","type":"article","venue":"Surgery","topic":"Enhanced Recovery After Surgery","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"Agency for Healthcare Research and Quality","keywords":"Medicine","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":[0.07610582,0.001364244,0.003981016,0.002172585,0.001541353,0.005960049,0.00306447,0.003447627,0.002184856],"category_scores_gemma":[0.2432736,0.0005880177,0.001980404,0.00318457,0.006780481,0.007207713,0.002779214,0.00388493,0.0006156435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574309,"about_ca_system_score_gemma":0.002553395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217105,"about_ca_topic_score_gemma":0.002501186,"domain_scores_codex":[0.9233332,0.04629153,0.0117381,0.004483021,0.01273091,0.001423262],"domain_scores_gemma":[0.7261572,0.2188649,0.02342189,0.01084725,0.01712178,0.00358693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004020557,0.001549882,0.6154853,0.00451262,0.006551585,0.0002342348,0.004324376,0.001586977,0.001647577,0.01307624,0.01275215,0.3342585],"study_design_scores_gemma":[0.001089045,0.004767551,0.8884494,0.003650225,0.00338994,0.000899696,0.009608485,0.004808891,0.002510167,0.05789554,0.02252262,0.0004083775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7660605,0.1052408,0.02990031,0.06034898,0.00856998,0.001364546,0.00278672,0.0002349756,0.0254931],"genre_scores_gemma":[0.9721096,0.005300165,0.01574938,0.003463414,0.001580784,0.0005549199,0.0007207385,0.00006268878,0.0004583683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07610582,"threshold_uncertainty_score":0.4024909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05624582499918428,"score_gpt":0.2707428579478611,"score_spread":0.2144970329486768,"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."}}