{"id":"W3013652494","doi":"10.1116/6.0000027","title":"Human plasma protein adsorption to elastin-like polypeptide nanoparticles","year":2020,"lang":"en","type":"article","venue":"Biointerphases","topic":"Blood properties and coagulation","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; King Saud University; Alberta Innovates - Technology Futures","keywords":"Biocompatibility; Chemistry; Fibrinogen; Nanoparticle; Blood proteins; Albumin; Complement system; Biophysics; Complement factor I; Protein adsorption; Adsorption; Antithrombin; Immunoglobulin G; Fibronectin; Von Willebrand factor; Coagulation; Biochemistry; Antibody; Platelet; Nanotechnology; Materials science; Immunology; Extracellular matrix; Organic chemistry; Heparin; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001605497,0.0002272736,0.0001240724,0.0001139854,0.00009619502,0.0001400454,0.00007845607,0.0001826398,0.0004331967],"category_scores_gemma":[0.000282795,0.0001042708,0.0001377783,0.00007736904,0.0001238397,0.0001363296,0.0001425736,0.0001737077,0.0001193411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216672,"about_ca_system_score_gemma":0.0000619351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002891209,"about_ca_topic_score_gemma":0.0003722619,"domain_scores_codex":[0.9998788,0.0000282499,0.000007689719,0.00002969774,0.00003404083,0.0000214937],"domain_scores_gemma":[0.9998801,0.00005419589,0.00002661843,0.000008973312,0.00001989884,0.00001028328],"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":[0.00002653821,0.000004923174,0.0001031614,0.00001615462,0.000002416326,0.00001637553,0.0000121877,0.00005408346,0.9991893,0.000006997802,0.000006950413,0.000560848],"study_design_scores_gemma":[0.000002488777,0.0001444405,0.002379633,0.000002850525,0.00000552645,0.00005088896,0.0000128691,0.0005630602,0.9964243,0.00001133253,0.0004009612,0.000001653618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966913,0.0004395593,0.002323663,0.00001934279,0.000006048798,0.00001211349,0.0000424564,0.00001417013,0.0004512025],"genre_scores_gemma":[0.9960638,0.0003267649,0.002364772,0.00004425455,0.000005168084,0.000019629,0.00009370322,0.00001226273,0.001069574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004331967,"threshold_uncertainty_score":0.001449227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182753680081446,"score_gpt":0.2733783978214753,"score_spread":0.2315508610206609,"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."}}