{"id":"W4396800706","doi":"10.1097/01.gox.0001019124.35278.2f","title":"D132. Improving Patient Transfer Quality with a Dedicated Transfer Center in an Emergency Setting: The Example of a Digital Replantation Program","year":2024,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"","keywords":"Replantation; Transfer (computing); Center (category theory); Medicine; Quality (philosophy); Computer science; Surgery; Operating system; Chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008095472,0.0003365295,0.0007315326,0.0001977801,0.00008230834,0.0001624205,0.000197452,0.0001330583,0.0001485789],"category_scores_gemma":[0.0002355881,0.0002250686,0.0002792135,0.0008543677,0.0003637231,0.0009826209,0.00005335606,0.0003274557,0.000003981886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641225,"about_ca_system_score_gemma":0.0005279946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009044258,"about_ca_topic_score_gemma":0.0003246193,"domain_scores_codex":[0.9971876,0.0003021942,0.0009623819,0.0007543439,0.0003600802,0.0004334017],"domain_scores_gemma":[0.9985172,0.0005873405,0.00009839742,0.0003832143,0.0002563568,0.0001574652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001543538,0.000470119,0.5108311,0.0003267339,0.0003555125,0.00009926568,0.0005664753,0.000001927152,0.001140953,0.0007464372,0.00004488846,0.483873],"study_design_scores_gemma":[0.004506155,0.003261119,0.9242889,0.005805744,0.001119789,0.007833422,0.00705854,0.00101017,0.0363436,0.002788459,0.003733236,0.002250838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989734,0.0001361613,0.005758981,0.0000611443,0.000458265,0.002111301,0.0005384079,0.0001586349,0.001043119],"genre_scores_gemma":[0.9984101,0.00003341052,0.0009253931,0.00001948427,0.00003236805,0.0002714728,0.0002696033,0.00003143793,0.000006707864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4816222,"threshold_uncertainty_score":0.9178029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277865544072836,"score_gpt":0.3115210013010321,"score_spread":0.2787423458603037,"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."}}