{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004826596,0.0001106888,0.0001165355,0.00005417844,0.00003979012,0.00001852628,0.00009806319,0.0001094447,0.0001861736],"category_scores_gemma":[0.0001451791,0.0001082304,0.00007056249,0.0001723831,0.00003429929,0.00007368271,0.00005348651,0.0002340694,0.00006251228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003763725,"about_ca_system_score_gemma":0.000005049812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006508857,"about_ca_topic_score_gemma":2.975056e-7,"domain_scores_codex":[0.9993184,0.000007367177,0.0001646138,0.00017174,0.0001249214,0.00021293],"domain_scores_gemma":[0.9996005,0.00003957841,0.0000338955,0.0001733233,0.00004310823,0.0001096281],"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":[0.00004006873,0.00006266828,0.0001959258,0.00002451145,0.00004190853,0.00003022992,0.0002216456,0.0001480874,0.9965201,0.002206356,0.00006704297,0.0004414481],"study_design_scores_gemma":[0.0001550693,0.00002180569,0.0001482244,0.00002541291,0.00002637717,0.00004065976,0.00006195434,0.0302253,0.9686884,0.0001722918,0.0002551516,0.0001793477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7781239,0.00005173373,0.04195905,0.00001581525,0.0002314267,0.00003967582,0.000004669533,0.0001835678,0.1793901],"genre_scores_gemma":[0.9868613,0.000003647053,0.009351996,0.00001782608,0.000164531,5.77887e-7,0.000003519921,0.00001811794,0.003578431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2087374,"threshold_uncertainty_score":0.4413509,"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."}}