{"id":"W2051225816","doi":"10.1016/j.colsurfb.2010.02.012","title":"Characterization of covalently bonded proteins on poly(methyl methacrylate) by X-ray photoelectron spectroscopy","year":2010,"lang":"en","type":"article","venue":"Colloids and Surfaces B Biointerfaces","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"X-ray photoelectron spectroscopy; Covalent bond; Characterization (materials science); Methacrylate; Polymer chemistry; X-ray; Poly(methyl methacrylate); Spectroscopy; Materials science; Chemistry; Methyl methacrylate; Chemical engineering; Organic chemistry; Polymer; Nanotechnology; Copolymer; Physics; Optics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001841131,0.0003407501,0.0002224681,0.0002032575,0.0002602073,0.000349609,0.0002528662,0.0004517327,0.001504666],"category_scores_gemma":[0.000346096,0.000263559,0.0001989717,0.0002310017,0.0002222508,0.0003940757,0.0002080467,0.0004593597,0.0004103174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761996,"about_ca_system_score_gemma":0.0001167411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003673709,"about_ca_topic_score_gemma":0.0004669128,"domain_scores_codex":[0.9998871,0.00001290787,0.000005430495,0.00002258451,0.00004654462,0.00002542453],"domain_scores_gemma":[0.9998336,0.00005669216,0.00003385805,0.00002012132,0.00003334916,0.00002237023],"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":[0.00003685296,0.00001270121,0.0001118976,0.00001721493,0.000003543757,0.00002112361,0.00001690824,0.00005636602,0.9991141,0.00003530967,0.000009014555,0.0005650345],"study_design_scores_gemma":[0.000004819668,0.0000680562,0.00342118,0.000003227845,0.000008775045,0.0000465067,0.00001895715,0.0007750955,0.9951442,0.00003930629,0.000467132,0.000002753929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934283,0.0005278492,0.00501097,0.00004573747,0.00001075327,0.00001475712,0.00007649978,0.00003885256,0.0008462584],"genre_scores_gemma":[0.9912792,0.0005197434,0.004124513,0.00005797794,0.000008585266,0.00003204656,0.0001961144,0.0000381743,0.003743652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001504666,"threshold_uncertainty_score":0.005033612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006913708993877519,"score_gpt":0.2503870704754357,"score_spread":0.2434733614815582,"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."}}