{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001117717,0.0009729332,0.0007722427,0.0007595019,0.0003469202,0.0005586527,0.0007103579,0.0008311037,0.0007171285],"category_scores_gemma":[0.0009946792,0.0004083731,0.0003799506,0.0005439446,0.0005852462,0.000712848,0.0005545637,0.0009551438,0.0004113853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046294,"about_ca_system_score_gemma":0.000361182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006874622,"about_ca_topic_score_gemma":0.0009946853,"domain_scores_codex":[0.9987155,0.0002177141,0.00009025601,0.0003480166,0.0004890692,0.0001394247],"domain_scores_gemma":[0.9992592,0.0002591193,0.0001359844,0.0001133915,0.0001880346,0.00004421921],"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":[0.00002177936,0.00001366338,0.0004929326,0.0000823638,0.00001361195,0.00004038535,0.00002673619,0.0000875949,0.9971365,0.0001038691,0.00002606701,0.001954552],"study_design_scores_gemma":[0.000003398014,0.00008790413,0.004601121,0.00000897314,0.00002283287,0.0002084396,0.00005882611,0.007537131,0.9859605,0.0002314572,0.001268161,0.00001119827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8164636,0.005044916,0.1747033,0.0002886141,0.00009573412,0.0001419616,0.0003707536,0.0006704395,0.002220669],"genre_scores_gemma":[0.8561697,0.003375108,0.1359949,0.000399665,0.00004944508,0.0002377487,0.0005116473,0.0001351214,0.003126693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001117717,"threshold_uncertainty_score":0.005911171,"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."}}