{"id":"W2081422536","doi":"10.1116/1.2192525","title":"<i>In situ</i> monitoring of protein adsorption on functionalized porous Si surfaces","year":2006,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Blueshift; Porous silicon; Fourier transform infrared spectroscopy; Bovine serum albumin; Photoluminescence; Adsorption; In situ; Materials science; Protein adsorption; Biosensor; Silicon; Incubation; Matrix (chemical analysis); Infrared spectroscopy; Analytical Chemistry (journal); Chemical engineering; Chemistry; Nanotechnology; Chromatography; Organic chemistry; Composite material; Optoelectronics; Biochemistry","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":[0.0001395953,0.0002399999,0.0001672745,0.0001182061,0.0001535798,0.0002073375,0.0002796929,0.0002848382,0.0007989736],"category_scores_gemma":[0.0002061833,0.0001420192,0.0001361507,0.0001368563,0.0003039979,0.0002286732,0.0001451759,0.0003342034,0.0001488391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571773,"about_ca_system_score_gemma":0.0001086758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007246238,"about_ca_topic_score_gemma":0.0008818775,"domain_scores_codex":[0.9998975,0.00001533538,0.000006355118,0.00002916568,0.00002730081,0.00002442179],"domain_scores_gemma":[0.9998728,0.00004651453,0.00003634612,0.00001126343,0.00002287148,0.00001019138],"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":[0.00003058994,0.00000593021,0.00007648007,0.00001774404,0.000001925777,0.00002233322,0.00001138148,0.00006835574,0.9993432,0.00003827337,0.00002398423,0.0003597897],"study_design_scores_gemma":[0.000001708063,0.00002738656,0.0005304576,6.973588e-7,0.000001817216,0.0000300488,0.00001014161,0.0006105276,0.998612,0.0000116532,0.000162125,0.000001487001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873245,0.0002689714,0.01051814,0.00007314995,0.0000175595,0.00001710946,0.0002145912,0.0001162512,0.001449692],"genre_scores_gemma":[0.9905621,0.0003873937,0.007354692,0.00004506788,0.00001121632,0.00002634129,0.0002447305,0.00001977105,0.001348612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007989736,"threshold_uncertainty_score":0.002672851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008227749944563469,"score_gpt":0.2382891234786496,"score_spread":0.2300613735340861,"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."}}