{"id":"W2086937789","doi":"10.1021/la801861q","title":"Monolayers of 3-Mercaptopropyl-amino Acid to Reduce the Nonspecific Adsorption of Serum Proteins on the Surface of Biosensors","year":2008,"lang":"en","type":"article","venue":"Langmuir","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biosensor; Amino acid; Chemistry; Monolayer; Surface plasmon resonance; Adsorption; Chromatography; Detection limit; Ionic bonding; Protein adsorption; Biochemistry; Organic chemistry; Chemical engineering; Nanoparticle; Ion","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":[0.00007445556,0.00009296965,0.0001317,0.00004998265,0.00004136521,0.000002529134,0.0001482315,0.00004964356,0.00005320478],"category_scores_gemma":[0.00001720263,0.00005459697,0.00006587098,0.0002647673,0.00006190604,0.00001748066,0.00001681291,0.00009447116,0.000009615688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001329788,"about_ca_system_score_gemma":0.000008712003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004947492,"about_ca_topic_score_gemma":0.000009736757,"domain_scores_codex":[0.9994419,0.00003432271,0.00017433,0.00008864834,0.0001532934,0.0001075683],"domain_scores_gemma":[0.9995482,0.0000243957,0.00005148598,0.0003130532,0.00004394233,0.00001891701],"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":[0.00002169997,0.00001584821,0.0002383045,0.00003110729,0.00003292609,8.179895e-7,0.0008382952,0.00659283,0.9899539,0.0005646363,0.001078316,0.0006313322],"study_design_scores_gemma":[0.00009056088,0.00006803269,0.03451908,0.00002322039,0.000008587197,0.000005073704,0.0002008012,0.000318367,0.9635149,0.00001896197,0.001171506,0.00006088104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998015,0.000177745,0.0001414945,0.0002280933,0.0001017679,0.0003157419,0.00004129758,0.00002907857,0.0009497131],"genre_scores_gemma":[0.9994412,0.00004395099,0.0003303993,0.00001773669,0.00002396721,0.000007358286,0.000001910327,0.00001629016,0.0001172093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03428078,"threshold_uncertainty_score":0.22264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617762790434932,"score_gpt":0.2027977168568946,"score_spread":0.1866200889525453,"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."}}