{"id":"W2063678327","doi":"10.1364/boda.2011.bmc2","title":"Surface Plasmon Resonance optical fiber biosensor for label-free characterization of biomolecular interactions","year":2011,"lang":"en","type":"article","venue":"Optics in the Life Sciences","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biosensor; Biomolecule; Surface plasmon resonance; Characterization (materials science); Materials science; Nanotechnology; Molecular binding; Fiber; Optical fiber; Molecular biophysics; Surface plasmon; Plasmon; Chemistry; Optoelectronics; Nanoparticle; Molecule; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003366384,0.0001124404,0.0001371469,0.00008026295,0.00007267429,0.00001809697,0.0004994919,0.00005013019,0.00001419295],"category_scores_gemma":[0.0003055062,0.00008818253,0.00003329545,0.0004841461,0.0002850154,0.0001937944,0.0000385509,0.000104373,0.00001125385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000163206,"about_ca_system_score_gemma":0.00001869828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003895478,"about_ca_topic_score_gemma":0.000005857447,"domain_scores_codex":[0.9990994,0.00002372484,0.0002660115,0.0001755232,0.0001996589,0.0002356516],"domain_scores_gemma":[0.9992974,0.000255621,0.00005723659,0.000300868,0.00005154487,0.00003737895],"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":[0.0001334112,0.0004350006,0.001084548,0.0001988592,0.00007601931,0.00001633874,0.008807186,0.0381854,0.8610294,0.08538456,0.0003542382,0.004294968],"study_design_scores_gemma":[0.001201518,0.0004429909,0.006096109,0.0002171132,0.00006740598,0.00003001776,0.001585157,0.374519,0.6060788,0.005140897,0.003926388,0.0006946338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843259,0.00009798428,0.00821925,0.0002360921,0.0003906597,0.0003020278,0.00003970878,0.00005413984,0.006334196],"genre_scores_gemma":[0.8359225,0.00008011192,0.1637462,0.00006084969,0.00003729101,0.00001695384,0.00000448983,0.00001946302,0.0001121298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3363336,"threshold_uncertainty_score":0.3595979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04781347831443125,"score_gpt":0.2774522428545413,"score_spread":0.22963876454011,"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."}}