{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001152271,0.0001537208,0.0003112049,0.0002934892,0.00007562478,0.00003531249,0.00007646868,0.00009107722,0.0001071356],"category_scores_gemma":[0.00118535,0.0001568318,0.0001378008,0.0002838303,0.0001700411,0.0002603795,0.00002648479,0.0001122059,0.000002129008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000246838,"about_ca_system_score_gemma":0.0003750589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01188156,"about_ca_topic_score_gemma":0.04843543,"domain_scores_codex":[0.9987081,0.00006157791,0.0003409464,0.0003266836,0.0001563993,0.0004063229],"domain_scores_gemma":[0.9983551,0.001031037,0.0001066972,0.0001456321,0.00006133877,0.0003001791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001721976,0.00004157918,0.9634113,0.00009578641,0.00002843269,0.0006918645,0.01129925,0.000003226088,0.0003836118,0.000004771241,0.0005714109,0.02329654],"study_design_scores_gemma":[0.0005242408,0.0000398954,0.9814484,0.0003858639,0.00002841575,0.0004295564,0.003279623,0.00006458412,0.009452748,0.000004851997,0.004143978,0.0001978704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998387,0.0002007519,0.00005725853,0.00004734814,0.0001118835,0.00008704502,0.0005503111,0.00004992493,0.0005085006],"genre_scores_gemma":[0.9991903,0.00007233668,0.00007471105,0.00006169273,0.00003581464,0.0000168169,0.000504442,0.00001759671,0.00002626268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03655387,"threshold_uncertainty_score":0.9946984,"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."}}