{"id":"W2042379840","doi":"10.4028/www.scientific.net/amr.89-91.479","title":"Deposition of Functional Polymer Thin Films Using Atmospheric Pressure Plasma for Biomedical Applications – Endothelialization of Vascular Prostheses","year":2010,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise","funders":"","keywords":"Materials science; Thin film; Adhesion; Polymer; Atmospheric-pressure plasma; Biomolecule; Deposition (geology); Fibronectin; Chemical engineering; Covalent bond; Atmospheric pressure; Plasma; Surface modification; Extracellular matrix; Polymer chemistry; Nanotechnology; Composite material; Chemistry; Organic chemistry","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":[0.0004507805,0.00009391506,0.0002495097,0.00006654382,0.0001259775,0.00001504656,0.00009982807,0.000140217,0.0002836031],"category_scores_gemma":[0.0004799305,0.0000824676,0.00005170639,0.0003456616,0.0002569543,0.00008825488,0.00004421535,0.0001074874,0.000005574979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001432927,"about_ca_system_score_gemma":0.0001978173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000501277,"about_ca_topic_score_gemma":0.000003522484,"domain_scores_codex":[0.9986601,0.00004741641,0.0003787978,0.0002317724,0.0004675138,0.0002143787],"domain_scores_gemma":[0.998349,0.000405763,0.0001399914,0.0003325456,0.0006850784,0.00008763207],"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":[0.0003074941,0.0003428795,0.0001103492,0.0004340948,0.00004450878,3.451306e-7,0.00002945258,0.0002572311,0.9891595,0.007888262,0.00008760566,0.001338249],"study_design_scores_gemma":[0.001021293,0.0001916026,0.0003882122,0.00007548562,0.00007578282,0.00001362094,0.00005093881,0.004162278,0.9890301,0.0006265269,0.004295374,0.00006878004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201577,0.0001687156,0.07665841,0.00009780685,0.000135145,0.002174862,0.0004628123,0.00002893589,0.000115622],"genre_scores_gemma":[0.924872,0.0000802409,0.07329998,0.00001273417,0.0001409694,0.0009899937,0.0004332008,0.00002866681,0.0001421877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007261735,"threshold_uncertainty_score":0.3362931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.035061042665155,"score_gpt":0.350543477167052,"score_spread":0.3154824345018971,"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."}}