{"id":"W1992730617","doi":"10.1016/j.colsurfb.2008.08.008","title":"Surface modifications of Nitinol for biomedical applications","year":2008,"lang":"en","type":"article","venue":"Colloids and Surfaces B Biointerfaces","topic":"Electrophoretic Deposition in Materials Science","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chitosan; Materials science; Electrophoretic deposition; Chemical engineering; Composite number; Substrate (aquarium); Fabrication; Surface modification; Corrosion; Composite material; Coating","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":[0.0001183564,0.0001182454,0.0001906422,0.00005462468,0.0001554608,0.00002566862,0.0001743742,0.00006268051,0.00002420384],"category_scores_gemma":[0.00001350573,0.00011043,0.00003565821,0.0002196365,0.0004275527,0.00007835611,0.00002400851,0.00004505453,0.000007433575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001755147,"about_ca_system_score_gemma":0.00002595316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001052603,"about_ca_topic_score_gemma":0.000002465172,"domain_scores_codex":[0.9991875,0.00001432912,0.0002890118,0.0001835159,0.000129463,0.0001961384],"domain_scores_gemma":[0.9995123,0.0001056925,0.00004610076,0.0001698658,0.0000863243,0.0000797523],"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":[0.00001036755,0.00004097231,0.0004346693,0.0001285534,0.00002307391,3.816397e-7,0.000264049,0.002935967,0.9930077,0.001098684,0.00174479,0.0003107939],"study_design_scores_gemma":[0.0006622015,0.000300314,0.001528711,0.00006176523,0.00003473916,0.00006607798,0.0003291996,0.08626018,0.8964764,0.0011742,0.01267063,0.0004355758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384093,0.001416521,0.05817861,0.0001019599,0.0001347192,0.0004339917,0.0001526087,0.0001356118,0.001036674],"genre_scores_gemma":[0.9827097,0.0007166503,0.01623182,0.000007894218,0.00001930745,0.00007839265,0.00001217736,0.00001553442,0.0002084926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09653129,"threshold_uncertainty_score":0.4503204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511380205884742,"score_gpt":0.2286640912504639,"score_spread":0.2135502891916165,"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."}}