{"id":"W2313582227","doi":"10.1021/la401837y","title":"Non-specific Adsorption of Crude Cell Lysate on Surface Plasmon Resonance Sensors","year":2013,"lang":"en","type":"article","venue":"Langmuir","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval; PROTEO; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Chemistry; Lysis; Adsorption; Monolayer; Chromatography; Surface plasmon resonance; Peptide; Biosensor; Desorption; Mass spectrometry; Protein adsorption; Biochemistry; Organic chemistry; Nanotechnology; Nanoparticle; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006640607,0.0001297793,0.0001465642,0.00002470612,0.00003352181,0.0000104162,0.0001049065,0.0001337471,0.000006870605],"category_scores_gemma":[0.000005921689,0.0001074615,0.00008503757,0.00009556306,0.00005951386,0.00000340542,0.00003664017,0.00007260388,0.00003590689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001008038,"about_ca_system_score_gemma":0.000005273956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002129531,"about_ca_topic_score_gemma":0.000005253725,"domain_scores_codex":[0.9992634,0.00002822993,0.0001662723,0.000262531,0.0001122936,0.0001672967],"domain_scores_gemma":[0.9994768,0.0000081123,0.0001038611,0.0002968877,0.00008021934,0.00003413993],"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":[0.00003745995,0.00004679182,0.0004248695,0.000009766324,0.000007874298,8.507017e-7,0.00001967431,0.000017913,0.9926112,0.00001033931,0.005426445,0.001386811],"study_design_scores_gemma":[0.0001641802,0.0001534648,0.003715241,0.00001765602,0.000005838466,0.000001669238,0.00004262735,0.00007302228,0.9784619,0.00002393374,0.01720581,0.0001346102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977845,0.0001773004,0.00007969372,0.00009242439,0.00003126774,0.0001166432,0.00001221707,0.00002974382,0.001676238],"genre_scores_gemma":[0.9952061,0.0004620535,0.00248641,0.00009268023,0.00007199391,0.000003811123,0.00006461262,0.00001772236,0.001594634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01414926,"threshold_uncertainty_score":0.4382151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007650544858136824,"score_gpt":0.2298778013360993,"score_spread":0.2222272564779625,"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."}}