{"id":"W2171682211","doi":"10.1002/jbm.a.32804","title":"Bioactivation of porous polyurethane scaffolds using fluorinated RGD surface modifiers","year":2010,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Materials science; Surface modification; Polyurethane; Cell adhesion; Porosity; Biomaterial; Tissue engineering; Adhesion; Polymer; Covalent bond; Chemical engineering; Adhesive; Scaffold; Biophysics; Biomedical engineering; Nanotechnology; Composite material; Chemistry; Organic chemistry; Layer (electronics)","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":[0.003722821,0.0001944024,0.0005949711,0.0005374151,0.00005458616,0.00008846508,0.000394754,0.000328758,0.0008028519],"category_scores_gemma":[0.0005151343,0.0001686244,0.00006603538,0.0005977238,0.000328906,0.0002755297,0.00008097295,0.0003985371,0.00001882969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070456,"about_ca_system_score_gemma":0.0001411777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009542782,"about_ca_topic_score_gemma":0.000001526229,"domain_scores_codex":[0.9969156,0.0002031556,0.001028439,0.0001437184,0.001151491,0.0005575403],"domain_scores_gemma":[0.9985611,0.000180324,0.0002163207,0.0002813288,0.0004204773,0.0003403879],"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":[0.000104188,0.00006894478,0.00001389795,0.0002356457,0.0000864695,0.00005545779,0.0001057358,0.0008558784,0.9969161,0.00006656859,0.0009725367,0.00051854],"study_design_scores_gemma":[0.0005947545,0.0002122469,0.0002793974,0.0002081983,0.00001708808,0.0001624019,0.00003851493,0.001355088,0.9938932,0.0001421253,0.002939898,0.0001570835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949048,0.0001228867,0.0006201466,0.0001352312,0.003863419,0.0001845398,0.00005737798,0.00006370503,0.00004785695],"genre_scores_gemma":[0.9948961,0.00007637623,0.004078633,0.000002600882,0.0008390805,0.000002474744,0.00001009347,0.00005936346,0.00003527054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003458486,"threshold_uncertainty_score":0.8790665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526419657578307,"score_gpt":0.327768621843734,"score_spread":0.2825044252679509,"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."}}