{"id":"W2003339950","doi":"10.1364/ao.53.005169","title":"Optimization of multiple-slot waveguides for biochemical sensing","year":2014,"lang":"en","type":"article","venue":"Applied Optics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Refractive index; Materials science; Physics","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":[0.0003884147,0.000575526,0.0004019248,0.0002027465,0.000154001,0.0004444846,0.0003998564,0.0003517654,0.0004509174],"category_scores_gemma":[0.0003838183,0.000309497,0.0004353491,0.0002605921,0.0003413261,0.0004940354,0.0002281838,0.0002996503,0.0001753633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005725109,"about_ca_system_score_gemma":0.0005477606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003891354,"about_ca_topic_score_gemma":0.001042893,"domain_scores_codex":[0.999788,0.00002679448,0.000007436054,0.00004790337,0.0001030858,0.00002684241],"domain_scores_gemma":[0.9998239,0.00006155061,0.00005915686,0.0000160221,0.00003262606,0.000006833264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001434897,0.0001003624,0.001341419,0.0002460666,0.00005719209,0.00009483492,0.00003503071,0.4743699,0.4968671,0.009269548,0.0002325709,0.01724247],"study_design_scores_gemma":[0.00002658016,0.0002267904,0.0005786354,0.000008723837,0.0000191466,0.00006154172,0.00001958066,0.8533743,0.1429734,0.001321497,0.001369113,0.00002060067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5968011,0.0009195314,0.3974097,0.0001713429,0.00005943156,0.00007673768,0.0001276781,0.0002627688,0.004171718],"genre_scores_gemma":[0.7625815,0.0004110188,0.2353202,0.00002892038,0.00001366671,0.00008226447,0.00009086268,0.00006088451,0.001410699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000575526,"threshold_uncertainty_score":0.004153907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009967567768467807,"score_gpt":0.2074699474118457,"score_spread":0.1975023796433779,"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."}}