{"id":"W4386083840","doi":"10.1080/09205063.2023.2248799","title":"Enhancement of protein immobilization on polydimethylsiloxane using a synergistic combination of polydopamine and micropattern surface modification","year":2023,"lang":"en","type":"article","venue":"Journal of Biomaterials Science Polymer Edition","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polydimethylsiloxane; Bovine serum albumin; Protein adsorption; Fetuin; Adsorption; Surface modification; Chemistry; Biointerface; Sodium dodecyl sulfate; Coating; Chromatography; Materials science; Nanotechnology; Biophysics; Chemical engineering; Glycoprotein; Biochemistry; Organic chemistry","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":[0.001977192,0.0001686177,0.0004054522,0.000670455,0.0001629448,0.00007568512,0.0002443287,0.00005453977,0.00006756609],"category_scores_gemma":[0.0002390735,0.0001455035,0.00005353313,0.0008759764,0.0006207956,0.0008069138,0.00008867902,0.00003587993,0.00001226078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265013,"about_ca_system_score_gemma":0.0001485592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001926335,"about_ca_topic_score_gemma":0.000001330045,"domain_scores_codex":[0.9973122,0.0001775532,0.001092605,0.0002643374,0.0008947381,0.0002585224],"domain_scores_gemma":[0.9971284,0.0001176189,0.001876511,0.0002044245,0.0005937474,0.00007932183],"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":[0.0001616939,0.0001637469,0.0001265077,0.00009126927,0.00001121151,0.000001824966,0.0003592549,0.00008988414,0.9985662,0.0001115414,0.00001946322,0.0002974593],"study_design_scores_gemma":[0.0004385388,0.0005015819,0.001909975,0.0004085413,0.0000352305,0.0000177501,0.0002986278,0.0005878119,0.9955542,0.0001240724,0.000002284624,0.0001214048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945268,0.0003098457,0.002519823,0.0002240766,0.002072125,0.000236205,0.00007890965,0.00002113727,0.00001107567],"genre_scores_gemma":[0.9992554,0.00004543454,0.0005275303,0.00001237212,0.0001059227,0.000004860367,0.000008387094,0.0000129566,0.00002717414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00472856,"threshold_uncertainty_score":0.5933461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559418839783029,"score_gpt":0.3218606109004569,"score_spread":0.2862664225026266,"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."}}