{"id":"W2036448500","doi":"10.1021/ac049318q","title":"Label-Free Reading of Microarray-Based Immunoassays with Surface Plasmon Resonance Imaging","year":2004,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface plasmon resonance; Chemistry; Microfluidics; Protein microarray; Substrate (aquarium); Nanotechnology; Antigen; Protein Array Analysis; DNA microarray; Biosensor; Surface plasmon; Plasmon; Optoelectronics; Materials science; Nanoparticle; Biochemistry","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":[0.001308601,0.001258411,0.001448769,0.001144514,0.0004920567,0.0009546776,0.001438238,0.001215732,0.002140375],"category_scores_gemma":[0.001881284,0.0007885521,0.0005813066,0.0007713954,0.0005737451,0.001047813,0.0007129948,0.001492677,0.001648292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000743236,"about_ca_system_score_gemma":0.00031091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002602269,"about_ca_topic_score_gemma":0.0005206194,"domain_scores_codex":[0.9978579,0.0004931825,0.0001245677,0.0003529525,0.001029735,0.0001416729],"domain_scores_gemma":[0.9986832,0.0005257754,0.0001621459,0.0001927547,0.0003458897,0.0000903231],"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":[0.00006223754,0.00003196594,0.00009935947,0.00008986359,0.000009445196,0.00004473476,0.00002281953,0.0001103758,0.992556,0.0002560532,0.0002600178,0.006457114],"study_design_scores_gemma":[0.00001149376,0.0001255265,0.0007213795,0.000008414631,0.00001832908,0.0001463949,0.00001423006,0.005658403,0.9906511,0.0003029426,0.002319867,0.000021989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2395141,0.00399034,0.739953,0.0007836325,0.001208382,0.0006159706,0.00126513,0.006960468,0.005708958],"genre_scores_gemma":[0.3135536,0.00213976,0.6736044,0.0006277641,0.0004511254,0.001473676,0.001105911,0.0003058359,0.006737958],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002140375,"threshold_uncertainty_score":0.007160246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006715402634781659,"score_gpt":0.2488777393678021,"score_spread":0.2421623367330204,"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."}}