{"id":"W1977591673","doi":"10.1117/12.875427","title":"Fabrication of large-area metal nanoparticle arrays by nanosphere lithography for localized surface plasmon resonance biosensors","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"CMC Microsystems","keywords":"Nanosphere lithography; Biosensor; Surface plasmon resonance; Materials science; Nanotechnology; Fabrication; Nanoparticle; Lithography; Plasmon; Surface plasmon; Optoelectronics; Nanolithography; Localized surface plasmon","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":[0.0002924836,0.0003663335,0.0003589836,0.0003107616,0.0002111583,0.00029969,0.0005150447,0.0004859614,0.001001365],"category_scores_gemma":[0.0003968326,0.0003631853,0.0003224691,0.0001729346,0.0003422243,0.0003778444,0.0004334282,0.0004491484,0.0008222774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659825,"about_ca_system_score_gemma":0.0002908671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003268811,"about_ca_topic_score_gemma":0.001154464,"domain_scores_codex":[0.9996725,0.00004443653,0.00002360567,0.00007855135,0.0001437806,0.00003701254],"domain_scores_gemma":[0.9998199,0.00006040997,0.00004245657,0.00003008062,0.00002802942,0.00001918678],"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":[0.000007748919,0.000007864381,0.00003697554,0.00002979765,0.00000251005,0.00001887857,0.00001477566,0.0001801544,0.9972292,0.0001756854,0.00009444627,0.002201953],"study_design_scores_gemma":[0.000007225458,0.00005551817,0.0003130162,0.000001893753,0.000002964007,0.00005474779,0.00000753656,0.002768194,0.9947214,0.00007932931,0.001981954,0.000006292848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6862969,0.003268415,0.2975331,0.0009260413,0.0002754373,0.0004977749,0.0006715336,0.003287391,0.007243355],"genre_scores_gemma":[0.6638428,0.001032018,0.3310118,0.0003110574,0.00004973052,0.0003168933,0.0003197196,0.0001077834,0.003008183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001001365,"threshold_uncertainty_score":0.004106462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0204188681158174,"score_gpt":0.256483340978467,"score_spread":0.2360644728626496,"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."}}