{"id":"W2791372983","doi":"10.1016/j.biomaterials.2018.03.009","title":"Influence of dynamic flow conditions on adsorbed plasma protein corona and surface-induced thrombus generation on antifouling brushes","year":2018,"lang":"en","type":"article","venue":"Biomaterials","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC; Canada Foundation for Innovation; Compute Canada","keywords":"Protein adsorption; Blood proteins; Biophysics; Materials science; Biofouling; Polymer brush; Methacrylamide; Chemistry; Chemical engineering; Polymer; Biochemistry; Composite material; Biology; Membrane; Polymerization","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008444494,0.0001406365,0.0002981574,0.00005820242,0.00009557216,0.00002319826,0.00003252718,0.00009149869,0.00006155011],"category_scores_gemma":[0.00004930501,0.0001123036,0.00002405335,0.00006582209,0.00008674621,0.00006640943,0.00001318444,0.0000101666,0.00006381402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003151781,"about_ca_system_score_gemma":0.00003758931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008102357,"about_ca_topic_score_gemma":0.00003062241,"domain_scores_codex":[0.9992189,0.00004177788,0.0002359873,0.0002244056,0.0001360191,0.0001428524],"domain_scores_gemma":[0.9995742,0.00002152213,0.0001111606,0.0001723627,0.0000690548,0.00005164516],"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":[0.0002247613,0.0001639943,0.0003639022,0.00003983764,0.00006540922,0.00002490315,0.00009460525,0.00002756026,0.9985554,0.00004082838,0.00002637284,0.0003723843],"study_design_scores_gemma":[0.001582012,0.001277102,0.06288493,0.0002314034,0.00004180592,0.00002201205,0.00001258617,0.001164784,0.9326147,0.0000587231,0.00001141886,0.00009855044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987953,0.00001528496,0.000001884894,0.0001104819,0.0001350993,0.0006622446,0.0001604452,0.00004442206,0.00007486434],"genre_scores_gemma":[0.9991981,0.00001602371,0.0004513497,0.00005459925,0.0000432442,0.00001441692,0.0001738175,0.00001634011,0.00003211213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06594077,"threshold_uncertainty_score":0.4579606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831566667368645,"score_gpt":0.3044142393008356,"score_spread":0.2760985726271492,"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."}}