{"id":"W2070881006","doi":"10.1364/oe.19.007410","title":"Polarimetric total internal reflection biosensing","year":2011,"lang":"en","type":"article","venue":"Optics Express","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Refractive index; Optics; Total internal reflection; Biosensor; Polarimetry; Materials science; Refractometry; Reflection (computer programming); Microscopy; Sensitivity (control systems); Nanotechnology; Physics; Scattering; Computer science","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":[0.0008360389,0.001271064,0.0008569089,0.0007980616,0.0003493102,0.001175244,0.001296079,0.001131178,0.002837856],"category_scores_gemma":[0.001070183,0.0006163853,0.0006141388,0.0005541304,0.0009738086,0.001190364,0.001340548,0.001792631,0.003360082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004306252,"about_ca_system_score_gemma":0.0002966076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272191,"about_ca_topic_score_gemma":0.0001603651,"domain_scores_codex":[0.9983778,0.0002772417,0.00005294128,0.0003911916,0.0007999206,0.0001009404],"domain_scores_gemma":[0.9993315,0.0002504286,0.0001118404,0.00008376563,0.0001873473,0.00003514804],"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":[0.00008305931,0.00002398774,0.0001182451,0.000283975,0.00001677683,0.0000595249,0.00005903103,0.0004498586,0.9737365,0.00243779,0.001123746,0.02160745],"study_design_scores_gemma":[0.00001292626,0.0001387893,0.0001905244,0.00001648235,0.00002268101,0.000469034,0.00004678449,0.005394485,0.9814897,0.001165642,0.01101521,0.00003778048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06217779,0.011462,0.8962876,0.00120848,0.001310213,0.0003112563,0.0007685326,0.003409774,0.02306435],"genre_scores_gemma":[0.4261789,0.01477131,0.5405283,0.001606169,0.0007276055,0.0004300278,0.001271966,0.0004356414,0.0140502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002837856,"threshold_uncertainty_score":0.009493589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251058504633877,"score_gpt":0.2493395652997681,"score_spread":0.2168289802534293,"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."}}