{"id":"W2326608469","doi":"10.1021/ac502077b","title":"Unravelling Nonspecific Adsorption of Complex Protein Mixture on Surfaces with SPR and MS","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation","keywords":"Chemistry; Adsorption; Protein adsorption; Chromatography; Surface plasmon resonance; Monolayer; Desorption; Bovine serum albumin; Biosensor; Ethylene glycol; Mass spectrometry; Biochemistry; Organic chemistry; Nanotechnology; Nanoparticle","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":[0.0001450012,0.0001267133,0.0002232821,0.00001488985,0.00004892719,0.00003418838,0.00009173404,0.00005578568,0.0004904511],"category_scores_gemma":[0.00006619648,0.00009538258,0.00002766567,0.00008124325,0.0002298899,0.00005430043,0.00003506053,0.0001093381,0.00003863684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001782508,"about_ca_system_score_gemma":0.00001182259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003479868,"about_ca_topic_score_gemma":0.000005356285,"domain_scores_codex":[0.9991333,0.00002302804,0.0001896362,0.0002608276,0.0002312015,0.0001619663],"domain_scores_gemma":[0.9994468,0.0001237557,0.00009833283,0.0001914587,0.00007160312,0.00006806332],"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":[0.00008004474,0.00003814228,0.000624939,0.00006830224,0.00001430343,8.158484e-7,0.0000376377,0.00007822892,0.9986956,0.0001826992,0.0001215622,0.00005775444],"study_design_scores_gemma":[0.0001853386,0.00005597419,0.00134329,0.0001015207,0.00001997533,0.00000517331,0.00008318417,0.00230157,0.9940475,0.00006020376,0.00167407,0.0001221664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884689,0.00004379618,0.0006720155,0.0002735479,0.00002004261,0.00005727108,0.00001116037,0.00003197184,0.01042129],"genre_scores_gemma":[0.9980517,0.000004669119,0.0006922827,0.00003142206,0.00004843323,0.000003844102,0.000003689593,0.000008868129,0.001155079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009582807,"threshold_uncertainty_score":0.5370095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185854185720016,"score_gpt":0.2562613445762763,"score_spread":0.2344028027190762,"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."}}