{"id":"W2094022511","doi":"10.4161/21592535.2014.979679","title":"On the potential for fibronectin/phosphorylcholine coatings on PTFE substrates to jointly modulate endothelial cell adhesion and hemocompatibility properties","year":2015,"lang":"en","type":"article","venue":"Biomatter","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Phosphorylcholine; Adhesion; Biomolecule; Coating; Fibronectin; Polytetrafluoroethylene; Protein adsorption; Adsorption; Cell adhesion; Materials science; Thrombogenicity; Scanning electron microscope; X-ray photoelectron spectroscopy; Biocompatibility; Chemistry; Biophysics; Chemical engineering; Biomedical engineering; Nanotechnology; Cell; Biochemistry; Platelet; Composite material; Organic chemistry; Immunology; Medicine","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":[0.0004027221,0.0001977023,0.0002069586,0.00004705019,0.0002008246,0.0001544862,0.0001510857,0.00004318035,0.00008431333],"category_scores_gemma":[0.0001516527,0.0001169044,0.00005251519,0.00005804022,0.00009547437,0.0001221454,0.0001000173,0.00005671309,0.0004400469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004929256,"about_ca_system_score_gemma":0.00001905479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002934242,"about_ca_topic_score_gemma":0.00001722967,"domain_scores_codex":[0.9987122,0.00008873616,0.0002741849,0.0003925044,0.000262431,0.0002698775],"domain_scores_gemma":[0.9992107,0.0001776332,0.0001098497,0.000282914,0.0001176158,0.0001013201],"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":[0.0006178026,0.0000777682,0.0001916444,0.00002289355,0.000005366926,8.246939e-7,0.0007248764,0.00005958153,0.989226,0.00001341144,0.008930304,0.0001295172],"study_design_scores_gemma":[0.0004730731,0.0003979531,0.001282073,0.00004807465,0.00001019722,0.000003442236,0.0003480138,0.000306718,0.9961842,0.0002068214,0.0005816934,0.0001577848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938458,0.00006290803,0.0001782287,0.004331727,0.0006474995,0.0006338831,0.00007564484,0.0000737041,0.0001505963],"genre_scores_gemma":[0.9970136,9.842038e-7,0.0005730765,0.001683373,0.00009192089,0.00008954772,0.000002102387,0.00002086957,0.0005245368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00834861,"threshold_uncertainty_score":0.565606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04788032532255134,"score_gpt":0.2676660486931439,"score_spread":0.2197857233705925,"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."}}