{"id":"W2063372826","doi":"10.1364/cleo_at.2012.jth2a.112","title":"A Plasmonic Affinity Biosensor with Dual Polarization Based on Hybrid Plasmonic Platform","year":2012,"lang":"en","type":"article","venue":"","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Plasmon; Biosensor; Optoelectronics; Polarization (electrochemistry); Materials science; Dual-polarization interferometry; Dual (grammatical number); Nanotechnology; Computer science; Chemistry; Telecommunications","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":[0.0003492563,0.0007477319,0.0007072045,0.0005562951,0.0004125047,0.0008165513,0.001155967,0.001638945,0.0005397113],"category_scores_gemma":[0.000369912,0.0005982096,0.0003713953,0.0006012574,0.0003634657,0.0005391601,0.0006183229,0.0008100148,0.000523582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004449823,"about_ca_system_score_gemma":0.0003077208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005176212,"about_ca_topic_score_gemma":0.000590036,"domain_scores_codex":[0.9994305,0.00009831664,0.0000196493,0.0001253868,0.0002628369,0.0000632906],"domain_scores_gemma":[0.999843,0.00003856348,0.00002382957,0.00001786476,0.0000547807,0.00002182378],"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":[0.00005573014,0.00009243304,0.0002372294,0.00005075739,0.00001960138,0.00005260426,0.00001575487,0.002892353,0.9856983,0.0007609301,0.0002336323,0.009890692],"study_design_scores_gemma":[0.00003150568,0.0002922108,0.0006546764,0.000006713867,0.00003193557,0.000410757,0.00001740219,0.118192,0.8774663,0.0003250885,0.002527619,0.00004384066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.454798,0.001819452,0.5328012,0.0005694942,0.0001989817,0.0002365586,0.0001818349,0.002012375,0.007382084],"genre_scores_gemma":[0.6706305,0.0005461117,0.3238943,0.0002149136,0.00003128369,0.0001588214,0.0001888479,0.00006471798,0.004270517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001638945,"threshold_uncertainty_score":0.003228545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828076960754435,"score_gpt":0.2215445468907223,"score_spread":0.203263777283178,"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."}}