{"id":"W2809395213","doi":"10.3390/photonics5030015","title":"Improved Magneto-Optic Surface Plasmon Resonance Biosensors","year":2018,"lang":"en","type":"article","venue":"Photonics","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Mitacs; York University; CMC Microsystems","keywords":"Materials science; Surface plasmon resonance; Biosensor; Optoelectronics; Plasmon; Wavelength; Surface plasmon; Bilayer; Photonics; Optics; Nanotechnology; Nanoparticle; Chemistry; Membrane","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":[0.0003485714,0.0005155106,0.0004401856,0.000297769,0.0001269017,0.000347034,0.0004853302,0.000620456,0.0004288286],"category_scores_gemma":[0.0004430271,0.000252479,0.0002546738,0.0002035191,0.0002042727,0.0004676759,0.0003752405,0.0004764404,0.0003568839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003495108,"about_ca_system_score_gemma":0.0001897306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005510573,"about_ca_topic_score_gemma":0.001181853,"domain_scores_codex":[0.9995514,0.0000651989,0.00003196897,0.0001049244,0.0001744697,0.00007209089],"domain_scores_gemma":[0.9998242,0.00002777274,0.00003133181,0.00001107575,0.00008736436,0.00001824841],"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":[0.00001679831,0.000006957159,0.00006178536,0.00003110756,0.000002905715,0.00001230217,0.000005997063,0.00007539911,0.99818,0.00005878487,0.00004517671,0.001502907],"study_design_scores_gemma":[0.000004823984,0.00005693029,0.0006050214,0.000003629976,0.000009831791,0.000103105,0.000008162961,0.002127776,0.9955171,0.00002637678,0.001528215,0.00000904323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264091,0.005562015,0.06309228,0.0004709743,0.0002479516,0.00007340522,0.0002540069,0.0007431049,0.003147157],"genre_scores_gemma":[0.9074724,0.001682031,0.08630773,0.0001774765,0.0000609054,0.0000451568,0.0002813783,0.0000370344,0.003935871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000620456,"threshold_uncertainty_score":0.00253588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358410014109748,"score_gpt":0.2352552663900827,"score_spread":0.2216711662489852,"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."}}