{"id":"W2025555138","doi":"10.1039/c3an36647b","title":"A paper-based surface-enhanced resonance Raman spectroscopic (SERRS) immunoassay using magnetic separation and enzyme-catalyzed reaction","year":2013,"lang":"en","type":"article","venue":"The Analyst","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chemistry; Substrate (aquarium); Immunoassay; Alkaline phosphatase; Detection limit; Magnetic separation; Chromatography; Magnetic nanoparticles; Catalysis; Enzyme; Nanoparticle; Materials science; Nanotechnology; Organic chemistry","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":[0.001272725,0.001603769,0.0008359465,0.0007318443,0.0002087222,0.0008195958,0.00134356,0.002025594,0.0006796518],"category_scores_gemma":[0.001141052,0.0005323056,0.0009320497,0.0004927252,0.0004142895,0.0008993954,0.0006288299,0.0009422204,0.001178675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003841468,"about_ca_system_score_gemma":0.0002825185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002372409,"about_ca_topic_score_gemma":0.0004708608,"domain_scores_codex":[0.9979464,0.0004734145,0.0001200418,0.0004663911,0.0008765758,0.0001171851],"domain_scores_gemma":[0.9990425,0.0003125712,0.0002443415,0.00007859031,0.0002574755,0.00006444718],"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":[0.00005239022,0.00003901353,0.0002287772,0.0001591952,0.00002591612,0.00008835468,0.00001344933,0.0001124072,0.9874226,0.0001435197,0.0001034082,0.01161109],"study_design_scores_gemma":[0.00001277723,0.0003405256,0.000568883,0.00001072138,0.00005169142,0.0007304024,0.00001436214,0.003051432,0.9917463,0.00006519729,0.003384705,0.00002291571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2611691,0.01654101,0.7114398,0.0007406821,0.001021764,0.0005692389,0.0003348221,0.003062887,0.005120649],"genre_scores_gemma":[0.3820446,0.007195559,0.6018581,0.0006788372,0.0003231261,0.0002426383,0.0005224591,0.00009169224,0.007043052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002025594,"threshold_uncertainty_score":0.006730855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0091058544198045,"score_gpt":0.2252893680470476,"score_spread":0.2161835136272431,"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."}}