{"id":"W2420821445","doi":"10.1021/acs.biomac.5b00955","title":"Specific Adsorption via Peptide Tags: Oriented Grafting and Release of Growth Factors for Tissue Engineering","year":2015,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Adsorption; Amphiphile; Peptide; Tissue engineering; Allylamine; Chemistry; Polystyrene; Combinatorial chemistry; Protein adsorption; Nanotechnology; Biophysics; Materials science; Biochemistry; Copolymer; Organic chemistry; Polyelectrolyte; Biomedical engineering; Polymer; Biology","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":[0.0001997525,0.0001469672,0.0001783985,0.00007761633,0.00005639741,0.00004916813,0.0001129253,0.00006114605,0.0000172491],"category_scores_gemma":[0.0001109486,0.0001298065,0.00003397423,0.0001498273,0.00007210681,0.0000916897,0.00004649642,0.00001691807,0.0000123449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000268378,"about_ca_system_score_gemma":0.00002076599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001260102,"about_ca_topic_score_gemma":0.000003273892,"domain_scores_codex":[0.9990849,0.00002269158,0.0002776667,0.0002665964,0.0001402416,0.0002079188],"domain_scores_gemma":[0.9993672,0.00006122023,0.000134394,0.0001694944,0.0001385878,0.0001290387],"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":[0.00002797987,0.00003675767,0.0001447699,0.00005270769,0.000004429458,0.000001289808,0.0001828606,0.000004692862,0.9980068,0.001173217,0.0001612461,0.00020327],"study_design_scores_gemma":[0.0003913206,0.0001051949,0.0008296702,0.00003058615,0.00001385133,0.000007609231,0.0001192327,0.0001829386,0.9964115,0.0001880604,0.001566628,0.0001533892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722638,0.0001688961,0.02673659,0.00004999686,0.000201625,0.0003019049,0.0001675226,0.00009202594,0.00001763281],"genre_scores_gemma":[0.988019,0.000008323476,0.01173107,0.00000872944,0.00008480658,0.00003273948,0.00008243592,0.00002252136,0.0000103182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01575525,"threshold_uncertainty_score":0.5293356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941704605688269,"score_gpt":0.2445249874757456,"score_spread":0.2251079414188629,"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."}}