{"id":"W4212798646","doi":"10.21203/rs.3.rs-1329525/v1","title":"Surface Plasmon Resonance Based Refractive Index Biosensor: A External Sensing Approach","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"King Saud University","keywords":"Surface plasmon resonance; Biosensor; Refractive index; Materials science; Surface plasmon; Localized surface plasmon; Optics; Resonance (particle physics); Index (typography); Optoelectronics; Plasmon; Nanotechnology; Physics; Computer science; Nanoparticle; Atomic physics","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":[0.0002469761,0.0006462128,0.0003481403,0.0002482744,0.000156123,0.0005305766,0.0008044415,0.0007037722,0.0007937821],"category_scores_gemma":[0.0003772232,0.0002005899,0.0003698028,0.0001388424,0.0004100372,0.0006429713,0.0005026186,0.0005448901,0.0005264422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565865,"about_ca_system_score_gemma":0.0002765742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004391843,"about_ca_topic_score_gemma":0.0004836628,"domain_scores_codex":[0.9996624,0.00004777946,0.00001086046,0.00008171526,0.0001779219,0.00001938407],"domain_scores_gemma":[0.999868,0.00002717729,0.00002233201,0.00001520005,0.00005805491,0.000009225997],"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":[0.00003060737,0.00003689652,0.000264046,0.0001482976,0.00001776084,0.00008578764,0.00002702297,0.002946535,0.9782954,0.003355306,0.0002462584,0.01454626],"study_design_scores_gemma":[0.0000111592,0.000233965,0.0005438105,0.00002144794,0.00003367902,0.0003224001,0.00002715469,0.124251,0.8663611,0.000981592,0.007169501,0.00004318339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1508348,0.003803689,0.830727,0.0006363274,0.000489596,0.0001566467,0.0001005581,0.001263154,0.01198824],"genre_scores_gemma":[0.6438722,0.002131706,0.3441466,0.0002533606,0.0001011198,0.0001337057,0.0001052482,0.00007014741,0.009185942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008044415,"threshold_uncertainty_score":0.003312767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0531247276389803,"score_gpt":0.3442726265983788,"score_spread":0.2911478989593985,"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."}}