{"id":"W2043724085","doi":"10.1002/btpr.2","title":"In situ characterization of the adsorbed Concanavalin a on germanium surface at various pH","year":2008,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Adsorption; Germanium; Physisorption; Chemistry; Monolayer; Infrared spectroscopy; Substrate (aquarium); In situ; Analytical Chemistry (journal); Protein adsorption; Inorganic chemistry; Chemical engineering; Chromatography; Physical chemistry; Organic chemistry; Silicon","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001436937,0.0002623969,0.0002014428,0.0001712439,0.0001440372,0.000219152,0.000253874,0.0003029035,0.0008144543],"category_scores_gemma":[0.0001338799,0.000174534,0.0001936778,0.0002059829,0.0002286128,0.0001963185,0.0001302608,0.0002567995,0.0001535816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877611,"about_ca_system_score_gemma":0.00009556635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009118771,"about_ca_topic_score_gemma":0.0008906319,"domain_scores_codex":[0.9999212,0.00001235122,0.00000357503,0.00002182366,0.00002089343,0.00002012337],"domain_scores_gemma":[0.9999096,0.00003966978,0.00001799071,0.000007524136,0.00001570155,0.000009403539],"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":[0.00002048166,0.000004777537,0.0001039072,0.00001088134,0.000001871413,0.0000108201,0.00001059876,0.00003777766,0.9995953,0.00001228314,0.000002534709,0.0001887655],"study_design_scores_gemma":[0.000002573386,0.00006111826,0.002235079,0.00000117613,0.00000562696,0.00002416127,0.00002210837,0.0009425613,0.9965545,0.00001459464,0.0001343583,0.000002229875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970127,0.0001711205,0.002226898,0.00002051947,0.000004058238,0.000007929581,0.00008104162,0.00002368966,0.0004521676],"genre_scores_gemma":[0.9956137,0.0002732211,0.003039331,0.00003448994,0.000003366919,0.00001509429,0.0001302196,0.00001698305,0.0008736931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009118771,"threshold_uncertainty_score":0.002724648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009657637531897969,"score_gpt":0.2516705985223427,"score_spread":0.2420129609904447,"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."}}