{"id":"W3004462739","doi":"10.12927/hcq.2020.26045","title":"Accelerating Post-Surgical Best Practices Using Enhanced Recovery After Surgery","year":2020,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Enhanced Recovery After Surgery","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Canadian Patient Safety Institute","funders":"","keywords":"Best practice; Health care; Medicine; Surgery; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004723191,0.0004020171,0.0009392821,0.0001903472,0.0001684042,0.0001285312,0.000111399,0.0003131979,0.000400983],"category_scores_gemma":[0.0005473962,0.0003869416,0.0003989106,0.0005355019,0.00006352185,0.000918986,0.00003201947,0.0007786218,0.0003074665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825332,"about_ca_system_score_gemma":0.001038421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005595646,"about_ca_topic_score_gemma":0.000131214,"domain_scores_codex":[0.9963665,0.0003743614,0.001019717,0.0008521145,0.0005818767,0.0008054021],"domain_scores_gemma":[0.9965934,0.0009682151,0.0007452428,0.0004817916,0.0004254271,0.0007859927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01838872,0.0008670614,0.04376406,0.006480553,0.0004790447,0.008807277,0.01192305,0.00002051891,0.07691981,0.0000364527,0.001498326,0.8308151],"study_design_scores_gemma":[0.03024984,0.1223387,0.1798034,0.04514512,0.004391716,0.02751534,0.08409457,0.01553463,0.202802,0.0008681605,0.2634653,0.02379119],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755383,0.001886727,0.0005284895,0.01944264,0.001031085,0.0005873146,0.00003923609,0.0002376127,0.0007086496],"genre_scores_gemma":[0.9855686,0.0001452331,0.002891179,0.008929033,0.002032035,0.00008417689,0.00005980912,0.00009500902,0.000194929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8070239,"threshold_uncertainty_score":0.9998583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09549407181096653,"score_gpt":0.3563100900556958,"score_spread":0.2608160182447293,"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."}}