{"id":"W2088708304","doi":"10.1089/sur.2008.096","title":"Aeromonas Sepsis as a Marker of Devitalized Tissue in Traumatic Injuries","year":2009,"lang":"en","type":"letter","venue":"Surgical Infections","topic":"Leech Biology and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University","funders":"","keywords":"Medicine; Sepsis; Aeromonas; Surgery; General surgery; Biology; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001425588,0.0006790066,0.001156563,0.0009820434,0.001278722,0.001816763,0.00116082,0.01630139,0.001382296],"category_scores_gemma":[0.008191621,0.0005297707,0.0006291014,0.000599188,0.002250655,0.001428867,0.0007443471,0.009489666,0.001294458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491515,"about_ca_system_score_gemma":0.0006554908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487084,"about_ca_topic_score_gemma":0.002559019,"domain_scores_codex":[0.9987753,0.0004992114,0.000204733,0.0001206505,0.0002590107,0.0001410663],"domain_scores_gemma":[0.9969442,0.001957709,0.0002429335,0.000118195,0.0003742994,0.0003626876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.002012807,0.000426483,0.05749597,0.0005950595,0.0001005621,0.4224963,0.001694641,0.0004013425,0.01075608,0.007310476,0.4280467,0.06866359],"study_design_scores_gemma":[0.0008031116,0.002115238,0.07012782,0.001223724,0.0004003012,0.5120656,0.00441488,0.006883727,0.01137441,0.01733034,0.3729422,0.0003186406],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07425588,0.01611051,0.003013148,0.8372476,0.0428177,0.0001210327,0.0001818164,0.0002386935,0.02601365],"genre_scores_gemma":[0.4725948,0.01023044,0.003206972,0.3819216,0.119188,0.0001265197,0.0001175155,0.00006506393,0.01254905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01630139,"threshold_uncertainty_score":0.01082176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962700696302868,"score_gpt":0.3341006758295074,"score_spread":0.3144736688664788,"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."}}