{"id":"W2079923028","doi":"10.1021/ac201641n","title":"In Situ Biosensing with a Surface Plasmon Resonance Fiber Grating Aptasensor","year":2011,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Chemistry; Surface plasmon resonance; Biosensor; In situ; Grating; Nanotechnology; Aptamer; Optoelectronics; Nanoparticle","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":[0.0004790953,0.000815966,0.0004781628,0.0003082505,0.0001955413,0.0003691669,0.0007614477,0.0006216911,0.0005863916],"category_scores_gemma":[0.0003491158,0.0004076722,0.0003184631,0.0002146066,0.0003098542,0.0005459985,0.0003199683,0.0006677038,0.0004800537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004767831,"about_ca_system_score_gemma":0.0002324755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009407134,"about_ca_topic_score_gemma":0.001197942,"domain_scores_codex":[0.9995837,0.00006379763,0.00002840912,0.0001242693,0.0001635493,0.00003634778],"domain_scores_gemma":[0.9998139,0.0000552738,0.00005095248,0.00001984316,0.00003781447,0.00002237312],"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":[0.00001645457,0.00001397431,0.00004287343,0.00002303811,0.000003245833,0.00001922921,0.00001028947,0.0001066957,0.9985775,0.00005008039,0.0000206757,0.001116035],"study_design_scores_gemma":[0.000003377946,0.00007077833,0.0001706395,0.000001522358,0.000006070245,0.00008709952,0.000007180059,0.002119823,0.9967895,0.00003573951,0.0007032524,0.000004969613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6773391,0.004026704,0.3117128,0.0005773524,0.0002358108,0.0002396566,0.0004431707,0.001370756,0.004054756],"genre_scores_gemma":[0.7401229,0.003183673,0.249759,0.0002960082,0.0001071415,0.0001243975,0.000279723,0.00007946131,0.00604771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009407134,"threshold_uncertainty_score":0.003459275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476347977589854,"score_gpt":0.2530184620012485,"score_spread":0.23825498222535,"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."}}