{"id":"W2004870243","doi":"10.1116/1.2711705","title":"Characterization of protein resistant, grafted methacrylate polymer layers bearing oligo(ethylene glycol) and phosphorylcholine side chains by neutron reflectometry","year":2007,"lang":"en","type":"article","venue":"Biointerphases","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Brock University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Ethylene glycol; Neutron reflectometry; Methacrylate; Polymer; Polymer chemistry; Side chain; Volume fraction; Materials science; Ethylene oxide; Chemistry; Reflectometry; Chemical engineering; Analytical Chemistry (journal); Neutron scattering; Small-angle neutron scattering; Copolymer; Scattering; Composite material; Organic chemistry; Optics","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":[0.0001655006,0.0003753225,0.0001735498,0.0002146236,0.00008339092,0.0002215959,0.0001455952,0.0002559181,0.0004511108],"category_scores_gemma":[0.0003230547,0.0001847481,0.0001659907,0.0001455659,0.0001579424,0.0002717579,0.0001565566,0.0002832964,0.0001482023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001137571,"about_ca_system_score_gemma":0.00009100802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004580142,"about_ca_topic_score_gemma":0.0006253195,"domain_scores_codex":[0.9999099,0.00001049754,0.00000657449,0.00001862593,0.00003851647,0.00001589656],"domain_scores_gemma":[0.9997819,0.00004615734,0.0000737306,0.00001633485,0.00004760795,0.00003434352],"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":[0.00001180369,0.00000259123,0.0001226925,0.000008431629,0.000001548364,0.000006666088,0.000005307132,0.00005036391,0.9995889,0.000007785053,0.000001369097,0.0001925587],"study_design_scores_gemma":[0.000003124292,0.00008499598,0.006094791,0.000004384233,0.00001188729,0.00005154578,0.00001807027,0.00108439,0.9923363,0.00001181389,0.0002950557,0.00000362371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958856,0.0003010826,0.003347184,0.000009085084,0.00000509048,0.00001163468,0.00008338116,0.00002082979,0.0003360424],"genre_scores_gemma":[0.9913155,0.0005965183,0.006423935,0.00003307324,0.000003441377,0.00003089269,0.0002795066,0.00003948019,0.001277649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004580142,"threshold_uncertainty_score":0.00150913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394404705430404,"score_gpt":0.2823118727715119,"score_spread":0.2683678257172079,"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."}}