{"id":"W2044757580","doi":"10.1016/s0142-9612(02)00083-2","title":"Identification of apolipoprotein A-I as a major adsorbate on biomaterial surfaces after blood or plasma contact","year":2002,"lang":"en","type":"article","venue":"Biomaterials","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomaterial; Protein adsorption; Blood proteins; Apolipoprotein B; Materials science; Blood plasma; Polysulfone; Membrane; Polymer; Chemistry; Biophysics; Biochemistry; Nanotechnology; Cholesterol; Biology; Composite material","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005254232,0.0003939047,0.0006602016,0.0002221993,0.0001428339,0.0003092578,0.0003935765,0.0001668529,0.01221913],"category_scores_gemma":[0.0002385645,0.0003008304,0.0001138385,0.000212166,0.000186281,0.0004387619,0.0001443856,0.00001573618,0.005049033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005349607,"about_ca_system_score_gemma":0.00002948434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008294431,"about_ca_topic_score_gemma":0.00005557036,"domain_scores_codex":[0.9968493,0.0002971783,0.001223742,0.0006105482,0.0005219106,0.0004973116],"domain_scores_gemma":[0.9982266,0.0001409328,0.0007625836,0.0006214797,0.0001349223,0.0001134474],"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":[0.001576585,0.0002983065,0.00008059421,0.0001048415,0.00009120341,0.0000390567,0.0004780465,0.000001093152,0.9966891,0.00006869617,0.0004557079,0.0001167839],"study_design_scores_gemma":[0.001161457,0.0004516002,0.001421374,0.0001386497,0.00008624186,0.0000508177,0.00008711312,0.00001725104,0.9953691,0.00003853706,0.0008303993,0.0003474007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937611,0.0001972773,0.000004385529,0.0002453953,0.003843912,0.0006211427,0.0008022201,0.000249451,0.0002751786],"genre_scores_gemma":[0.9976454,0.00004919245,0.0001551952,0.00007240388,0.0002183278,0.0002519472,0.00000970124,0.00004951908,0.001548328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007170097,"threshold_uncertainty_score":0.9999444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243419546524829,"score_gpt":0.2721562312025265,"score_spread":0.2478142765500436,"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."}}