{"id":"W2539842135","doi":"","title":"Investigating long-term stability of sulfur and fluorine based adlayers on stainless steel stent models","year":2015,"lang":"en","type":"article","venue":"Journal of Molecular Biomarkers & Diagnosis","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stent; Biocompatibility; Coating; Materials science; Restenosis; X-ray photoelectron spectroscopy; Contact angle; Monolayer; Nanotechnology; Metallurgy; Biomedical engineering; Composite material; Chemical engineering; Medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001487538,0.0002312495,0.0004934283,0.0002154468,0.00006155038,0.00007016875,0.0002622021,0.00006841197,0.00003106986],"category_scores_gemma":[0.0007224323,0.0001958211,0.0001637919,0.0002124314,0.0002692674,0.0003421958,0.0001303704,0.0001494881,0.00000249258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964164,"about_ca_system_score_gemma":0.0002210296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009290285,"about_ca_topic_score_gemma":0.00001717552,"domain_scores_codex":[0.9974039,0.0003943932,0.0008041151,0.0002715924,0.0008477063,0.0002783097],"domain_scores_gemma":[0.9975098,0.0004161139,0.0008397165,0.0002952105,0.000599601,0.00033959],"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":[0.0003413743,0.0003408396,0.1837192,0.0001138917,0.0002141556,0.0001002978,0.0005439211,0.001517797,0.8111392,0.00002020411,0.000321771,0.001627354],"study_design_scores_gemma":[0.001284506,0.0005635128,0.02478477,0.0003741623,0.0001123114,0.00001927211,0.0008464366,0.0003771233,0.971352,0.00008311049,0.00001349576,0.0001892754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952471,0.001831709,0.001227907,0.0009533974,0.0004201978,0.0001883873,0.00003526381,0.00001454652,0.000081461],"genre_scores_gemma":[0.9969456,0.000070473,0.002702117,0.0002175872,0.00002365471,0.00001525124,0.00000121121,0.00002180596,0.000002273006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1602129,"threshold_uncertainty_score":0.7985352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05694641893661994,"score_gpt":0.2951120691392714,"score_spread":0.2381656502026515,"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."}}