{"id":"W4379376828","doi":"10.1002/advs.202301406","title":"An All‐In‐One Transient Theranostic Platform for Intelligent Management of Hemorrhage","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Hemostasis and retained surgical items","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; National Institute of Arthritis and Musculoskeletal and Skin Diseases; University of California, Los Angeles; National Institutes of Health","keywords":"Fibroin; Hemostat; Medicine; Biocompatibility; Biomedical engineering; Hemostasis; Hemostatic Agent; In vivo; Materials science; Nanotechnology; Surgery; SILK","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":[0.0001131227,0.000345135,0.0002499707,0.0001559416,0.0001576212,0.0003251099,0.0003222819,0.0005433168,0.001182267],"category_scores_gemma":[0.000100457,0.0001889898,0.0002333409,0.00008491277,0.0001540559,0.0004198312,0.0004303007,0.0004218071,0.0003827421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557422,"about_ca_system_score_gemma":0.0001698133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009760039,"about_ca_topic_score_gemma":0.0002463975,"domain_scores_codex":[0.999926,0.000008990135,0.000004269844,0.00001735555,0.00002368134,0.00001972116],"domain_scores_gemma":[0.9999561,0.000007357713,0.00001382607,0.000004723121,0.000006221223,0.0000117573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000867855,0.0000389834,0.0001168073,0.000102629,0.000009724497,0.0001593024,0.00001494997,0.0003137581,0.9826362,0.0004260694,0.0004264072,0.01566839],"study_design_scores_gemma":[0.00003273838,0.0007759596,0.00107574,0.00002002093,0.00004881336,0.000957715,0.00002860933,0.008874805,0.9742272,0.0003919195,0.01353839,0.00002806628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7765635,0.01459304,0.1915194,0.001690013,0.000726794,0.0002941183,0.0004532205,0.00162757,0.0125323],"genre_scores_gemma":[0.947786,0.004116792,0.0392222,0.0005793077,0.00009298822,0.0001391674,0.0002166582,0.00004042301,0.007806433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001182267,"threshold_uncertainty_score":0.003955066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08349336168027215,"score_gpt":0.369785540073215,"score_spread":0.2862921783929429,"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."}}