{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006409036,0.00009279454,0.0002180987,0.000169906,0.00005733531,0.000009300787,0.0001823737,0.00002618665,0.000022927],"category_scores_gemma":[0.0000368978,0.00006719448,0.00006097431,0.001031804,0.0002022972,0.0001579192,0.0000232649,0.00006441008,0.00001090673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005490582,"about_ca_system_score_gemma":0.00003763647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003344104,"about_ca_topic_score_gemma":0.000002678365,"domain_scores_codex":[0.998646,0.000005517938,0.0002718918,0.0003136279,0.0003846529,0.0003783433],"domain_scores_gemma":[0.9993845,0.0000730623,0.00003979115,0.0002768575,0.00007191193,0.000153898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003253459,0.0005308699,0.0002871982,0.000507861,0.0000260331,0.0001509378,0.00131256,0.005327584,0.3039902,0.005887434,0.00001111341,0.6816429],"study_design_scores_gemma":[0.01170962,0.004918449,0.06941654,0.001742134,0.0002081029,0.00005510248,0.01474865,0.2240573,0.6392684,0.007725805,0.02501083,0.001139138],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804735,0.0001594828,0.01570585,0.0005226025,0.0001566427,0.0008813276,0.000008113104,0.00005520387,0.002037335],"genre_scores_gemma":[0.9920324,0.0002410106,0.007209232,0.0001635558,0.00001158424,0.0000425532,0.00001237804,0.000009695996,0.00027759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6805037,"threshold_uncertainty_score":0.2740111,"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."}}