{"id":"W3040064243","doi":"10.1039/d0bm00917b","title":"Thrombin-responsive engineered nanoexcavator with full-thickness infiltration capability for pharmaceutical-free deep venous thrombosis theranostics","year":2020,"lang":"en","type":"article","venue":"Biomaterials Science","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Chongqing Medical University; National Natural Science Foundation of China","keywords":"Thrombin; Liposome; Biomedical engineering; Infiltration (HVAC); Chemistry; Venous thrombosis; Biophysics; Thrombosis; Medicine; Materials science; Biochemistry; Surgery; Immunology; Biology; Platelet","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":[0.00009946457,0.0002362628,0.0001416233,0.0001144321,0.00008551758,0.0002253463,0.0001849862,0.0004044061,0.0003803235],"category_scores_gemma":[0.0001188341,0.0001245457,0.0001654105,0.00007421185,0.0001351337,0.0003102476,0.00028073,0.0003431272,0.00020213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002192774,"about_ca_system_score_gemma":0.0001470024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980025,"about_ca_topic_score_gemma":0.0002914754,"domain_scores_codex":[0.9999285,0.000007732918,0.000005364921,0.00001903449,0.00002392552,0.00001542836],"domain_scores_gemma":[0.9999515,0.000007714973,0.00001696508,0.000004338688,0.000008900636,0.00001063955],"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":[0.00001762094,0.000009008739,0.00003441567,0.00002782652,0.000002265975,0.00004537954,0.000009489452,0.0001657455,0.9969928,0.000191672,0.00005250226,0.002451309],"study_design_scores_gemma":[0.00001158218,0.0001314317,0.0003004071,0.000003188307,0.000008412448,0.0002468825,0.000007743823,0.004139998,0.9926124,0.00005373413,0.002474061,0.00001017371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381232,0.003363109,0.05457286,0.0002436794,0.00009077965,0.0001094263,0.0001566133,0.0003336286,0.003006702],"genre_scores_gemma":[0.9761382,0.001037721,0.02004988,0.0001677881,0.00001673151,0.00007001645,0.000108591,0.00002865809,0.002382278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004044061,"threshold_uncertainty_score":0.001590908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237985895973654,"score_gpt":0.3095889000867492,"score_spread":0.2672090411270126,"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."}}