{"id":"W3043359871","doi":"10.1177/2292550320925914","title":"Trends in Digital Replantation: 10 Years of Experience at a Large Canadian Tertiary Care Center: Les tendances de la replantation digitale : dix ans d’expérience d’un grand centre canadien de soins tertiaires","year":2020,"lang":"en","type":"article","venue":"Plastic Surgery","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Western Hospital; University of Ottawa","funders":"","keywords":"Replantation; Center (category theory); Tertiary care; Humanities; Library science; Medicine; Art; General surgery; Anatomy; Computer science","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":[0.0009750201,0.000254969,0.0002689289,0.001221189,0.002230306,0.001738583,0.001122604,0.0007701159,0.00224337],"category_scores_gemma":[0.002712183,0.0002873766,0.0003671465,0.002402691,0.0009729244,0.0008700648,0.0008517388,0.001020628,0.0003616009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009886704,"about_ca_system_score_gemma":0.0117618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6799041,"about_ca_topic_score_gemma":0.800279,"domain_scores_codex":[0.998478,0.000091024,0.00008626013,0.0001390698,0.0006894834,0.0005160935],"domain_scores_gemma":[0.9964781,0.0002458458,0.001056364,0.00006696598,0.001025856,0.001126809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006308557,0.000122472,0.9813312,0.00005836977,0.00003023679,0.0009384532,0.004255699,0.0001697558,0.0004652417,0.0001085797,0.001202965,0.01125394],"study_design_scores_gemma":[0.000005772498,0.0001610458,0.9812991,0.0001228496,0.00002149896,0.002257449,0.01160697,0.0002969142,0.0002257697,0.00004447432,0.003924163,0.00003395738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962763,0.0008635271,0.0001288579,0.0007496871,0.00001385037,0.00002042085,0.0002824356,0.000008126015,0.001656618],"genre_scores_gemma":[0.997366,0.001190859,0.0002460389,0.0002033131,0.00002008575,0.00001023755,0.0002882109,0.000007138951,0.0006682333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3200959,"threshold_uncertainty_score":0.643962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008240125459519203,"score_gpt":0.2319856899549516,"score_spread":0.2237455644954323,"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."}}