{"id":"W3187376581","doi":"10.1007/s00216-021-03566-3","title":"Pushing the detection limits: strategies towards highly sensitive optical-based protein detection","year":2021,"lang":"en","type":"review","venue":"Analytical and Bioanalytical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Protein detection; Biosensor; Nanotechnology; Computational biology; Miniaturization; Protein chip; Chemistry; Biology; Bioinformatics; Materials science","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":[0.001854679,0.001564399,0.001736315,0.002225216,0.0003335382,0.002041664,0.002147326,0.00250266,0.002220252],"category_scores_gemma":[0.00152326,0.0006528165,0.0007466069,0.002014431,0.001664342,0.003139048,0.001548283,0.004505023,0.0027836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270488,"about_ca_system_score_gemma":0.001082523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032138,"about_ca_topic_score_gemma":0.001505365,"domain_scores_codex":[0.999172,0.000122952,0.00004153656,0.0001555404,0.0004198066,0.00008807482],"domain_scores_gemma":[0.9991104,0.0004795672,0.0001028339,0.00003779115,0.0002136525,0.00005574702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006625505,0.0001757086,0.0001596215,0.01573314,0.00008674207,0.0002313916,0.00009728346,0.001053369,0.02853032,0.03531344,0.03278171,0.885771],"study_design_scores_gemma":[0.00001218742,0.0001258673,0.0003710628,0.001618891,0.00006693704,0.0008170824,0.00006355981,0.000720499,0.01382843,0.0126889,0.969632,0.0000546419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003140825,0.9907572,0.005040479,0.0009054943,0.0004413623,0.00001403914,0.00003316513,0.0000393483,0.002454835],"genre_scores_gemma":[0.003113012,0.9896129,0.003853587,0.00104028,0.0003736309,0.00003173192,0.00005425558,0.00001079933,0.001909788],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00250266,"threshold_uncertainty_score":0.00980854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188080028588696,"score_gpt":0.2561658684078875,"score_spread":0.2342850681220006,"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."}}