{"id":"W2083313576","doi":"10.1016/j.bios.2013.05.011","title":"Label-free detection of low protein concentration in solution using a novel colorimetric assay","year":2013,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Grand Challenges Canada; University of Alberta","keywords":"Overlayer; Polyelectrolyte; Polymer; Acrylic acid; Spectral line; Biotinylation; Fabry–Pérot interferometer; Layer (electronics); Materials science; Chemistry; Polyacrylic acid; Analytical Chemistry (journal); Chemical engineering; Nanotechnology; Chromatography; Optoelectronics; Organic chemistry; Copolymer; Physical chemistry","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":[0.0008276681,0.001104556,0.0006822753,0.0006679186,0.0003954278,0.0009286273,0.002170019,0.001614662,0.000896871],"category_scores_gemma":[0.0007150028,0.0006076687,0.0005791197,0.0004498533,0.0005843953,0.001099576,0.0007445159,0.001538812,0.001137595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007148951,"about_ca_system_score_gemma":0.0003675352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001725984,"about_ca_topic_score_gemma":0.0004035538,"domain_scores_codex":[0.9990841,0.0001273451,0.00005839465,0.000272755,0.0003813413,0.00007602326],"domain_scores_gemma":[0.9995887,0.0001334529,0.00008931196,0.00003959491,0.00008790072,0.00006103465],"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":[0.00003865559,0.00002972858,0.00004919509,0.00006961531,0.000007045792,0.00003756407,0.00001410606,0.00005004477,0.9956352,0.0003954986,0.0001864647,0.003486958],"study_design_scores_gemma":[0.000008041904,0.00008245912,0.0001566246,0.000003641526,0.00001138626,0.0002009006,0.000004309647,0.002076722,0.9949297,0.00008925961,0.002422279,0.00001453964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2537305,0.008327704,0.7235529,0.001721132,0.001303371,0.0003311172,0.0006661289,0.002789918,0.007577259],"genre_scores_gemma":[0.5815223,0.004819929,0.3958316,0.001202912,0.0005106719,0.0005036784,0.0008919293,0.0001773229,0.01453964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002170019,"threshold_uncertainty_score":0.005186975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456910783174392,"score_gpt":0.2189668048836843,"score_spread":0.2043976970519404,"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."}}