{"id":"W3044547963","doi":"10.1016/j.msec.2020.111301","title":"Biocompatibility enhancement of hemodialysis membranes using a novel zwitterionic copolymer: Experimental, in situ synchrotron imaging, molecular docking, and clinical inflammatory biomarkers investigations","year":2020,"lang":"en","type":"article","venue":"Materials Science and Engineering C","topic":"Blood properties and coagulation","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); Toronto Metropolitan University; St. Paul's Hospital; University of Alberta; University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Biocompatibility; Materials science; Adsorption; Protein adsorption; Zwitterion; Membrane; Attenuated total reflection; Fourier transform infrared spectroscopy; Chemical engineering; Organic chemistry; Chemistry; Molecule; Biochemistry","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":[0.0004144065,0.00009585234,0.0002354448,0.00009069852,0.00004483327,0.00004319884,0.00005177696,0.00002681287,0.00001575208],"category_scores_gemma":[0.00008303479,0.00008637257,0.00001940011,0.0002171876,0.0002863036,0.0001495636,0.00007858709,0.00003462764,3.012169e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000387483,"about_ca_system_score_gemma":0.00008766507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170963,"about_ca_topic_score_gemma":0.000001135579,"domain_scores_codex":[0.9990679,0.00001600952,0.0003519369,0.0002472787,0.0001771888,0.0001396818],"domain_scores_gemma":[0.9996629,0.00001036722,0.00006825411,0.0001111793,0.00003871529,0.0001085793],"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":[0.0000267225,0.00003215587,0.008536343,0.0001768345,0.00001272988,0.000001448728,0.0003371082,0.0002224994,0.9905207,0.00001538131,6.490793e-7,0.0001174592],"study_design_scores_gemma":[0.0004592657,0.00007048505,0.01546109,0.0001295634,0.00003389,0.000005178676,0.000101741,0.03534541,0.9482969,0.000001857602,0.000009624882,0.00008499528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985281,0.0006054773,0.0003294201,0.0002274517,0.00007013674,0.000215012,0.000001626314,0.00001700052,0.000005831442],"genre_scores_gemma":[0.9979314,0.00002112644,0.001874521,0.000132268,0.00002391338,0.00000752086,0.000002205586,0.000006821823,1.86696e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04222377,"threshold_uncertainty_score":0.3522171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651658485597593,"score_gpt":0.2805938952639824,"score_spread":0.2540773104080065,"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."}}