{"id":"W4406649046","doi":"10.1016/b978-2-294-73068-9.00403-5","title":"10.1016/b978-2-294-73068-9.00403-5","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Enhanced Recovery After Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001927448,0.0006832971,0.001142191,0.0005073603,0.00006493143,0.00003787901,0.0002580774,0.0006668649,0.9982392],"category_scores_gemma":[0.0000564134,0.0006758545,0.0004967594,0.000083839,0.00009403482,0.00009896638,0.0001247345,0.0007892821,0.9974754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364798,"about_ca_system_score_gemma":0.0002450982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006979044,"about_ca_topic_score_gemma":3.549469e-7,"domain_scores_codex":[0.9974286,0.00002261886,0.0006156201,0.0007891948,0.0005956286,0.0005483357],"domain_scores_gemma":[0.9979108,0.0001639954,0.0001750879,0.001115012,0.0001322287,0.0005028995],"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":[0.0004669373,0.00004465071,3.95182e-8,0.00008446994,0.0002262284,0.0003282946,0.000009087712,0.000004225021,0.00005402575,0.000009972468,0.4121279,0.5866442],"study_design_scores_gemma":[0.0004170008,0.000360031,0.000003324118,0.001016528,0.0002813025,0.0001753647,1.672158e-7,0.000005114491,0.0001920144,0.0001408979,0.99674,0.0006681894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005309877,0.0007116325,0.000002287384,0.0003075231,0.00002103543,0.0007021423,0.000115903,0.0003657388,0.9977684],"genre_scores_gemma":[0.000001673483,0.000005424227,0.0001918221,0.0003108885,0.001279572,0.0000377436,0.0002708195,0.0002786771,0.9976234],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5859759,"threshold_uncertainty_score":0.9995692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009627947567938184,"score_gpt":0.190966431931202,"score_spread":0.1813384843632638,"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."}}