{"id":"W4410640845","doi":"10.1097/01.gox.0001114536.74253.9f","title":"P90. Cost-Effective Care for Massive Burns","year":2025,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Computer science; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533871,0.0004765388,0.0002601507,0.0004265536,0.0002612107,0.001138358,0.0006829281,0.0009987277,0.04421255],"category_scores_gemma":[0.008948428,0.0001705012,0.0009590809,0.0005722413,0.0003706694,0.000737112,0.0007689837,0.001177976,0.0020174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002298561,"about_ca_system_score_gemma":0.003544514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00502813,"about_ca_topic_score_gemma":0.003619606,"domain_scores_codex":[0.9986755,0.0007563308,0.00003999987,0.0000829874,0.0003320484,0.0001130858],"domain_scores_gemma":[0.99756,0.001505173,0.0003744928,0.00009506444,0.0003077619,0.000157438],"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":[0.00136534,0.0004137025,0.0137379,0.003456488,0.0005691796,0.0004659565,0.000125537,0.2348625,0.001196681,0.1012697,0.1645094,0.4780276],"study_design_scores_gemma":[0.00130178,0.002637344,0.04042178,0.006222005,0.0008938748,0.002455808,0.0007313025,0.3362148,0.003233734,0.3132446,0.2925169,0.0001261122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2045119,0.0403918,0.1241726,0.1043344,0.002906202,0.002905939,0.01671188,0.000968661,0.5030966],"genre_scores_gemma":[0.9611182,0.007438956,0.01414626,0.003825354,0.0003682029,0.0005776395,0.001366798,0.0001003203,0.01105828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04421255,"threshold_uncertainty_score":0.1479057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238710600827694,"score_gpt":0.3227004369146634,"score_spread":0.3003133309063865,"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."}}