{"id":"W2776455815","doi":"10.1097/01.numa.0000527718.90264.89","title":"Nurse coordinators and ERAS programs","year":2017,"lang":"en","type":"article","venue":"Nursing Management","topic":"Enhanced Recovery After Surgery","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Watson; Nurse Administrator; Nursing; Management; Gerontology; Psychology; Medicine; MEDLINE; Political science; Computer science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01116785,0.0003186478,0.0003535136,0.001092221,0.003108457,0.002962396,0.001053438,0.001854176,0.03823052],"category_scores_gemma":[0.03293616,0.0003347397,0.0003130862,0.0009079639,0.001104441,0.002146086,0.004156251,0.002783503,0.003748585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003265256,"about_ca_system_score_gemma":0.02710074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005809105,"about_ca_topic_score_gemma":0.01587539,"domain_scores_codex":[0.9878833,0.006788841,0.0003995306,0.0006081756,0.002179859,0.002140314],"domain_scores_gemma":[0.9602319,0.005749507,0.00224207,0.0005876074,0.005736119,0.02545279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002403514,0.0008920503,0.01750523,0.0006867332,0.00003623448,0.0008622202,0.004590724,0.0002897616,0.0001993999,0.04540837,0.5546524,0.3746366],"study_design_scores_gemma":[0.0002258775,0.0005375159,0.0189719,0.00248715,0.00002912694,0.001032829,0.01027502,0.0002284652,0.0002582945,0.009729494,0.9561851,0.00003926833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05398061,0.04901294,0.006452928,0.4799843,0.02541566,0.0007054857,0.0003718292,0.0005701041,0.3835061],"genre_scores_gemma":[0.5515814,0.07353701,0.007663362,0.0821348,0.01251708,0.001510215,0.0006074614,0.000354539,0.2700942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03823052,"threshold_uncertainty_score":0.1278938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823090330410639,"score_gpt":0.3028545093268734,"score_spread":0.284623606022767,"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."}}