{"id":"W1679943174","doi":"10.1016/j.bios.2015.09.010","title":"Nanostructured bioluminescent sensor for rapidly detecting thrombin","year":2015,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thrombin; Bioluminescence; Luciferase; Detection limit; Chemistry; Peptide; Urine; Biochemistry; Biophysics; Chromatography; Biology; Immunology; Platelet; Transfection","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":[0.0001460233,0.0002532464,0.000296509,0.0001983381,0.0001374926,0.0003129952,0.0008970068,0.0007311364,0.0007258222],"category_scores_gemma":[0.0003366125,0.0003091281,0.0002186453,0.0001392733,0.0001601866,0.0003807848,0.0003642871,0.0005094463,0.0005383149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005228861,"about_ca_system_score_gemma":0.0002207339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003458137,"about_ca_topic_score_gemma":0.0009846489,"domain_scores_codex":[0.9998178,0.00001322808,0.000009843718,0.00004352187,0.00009531177,0.00002028039],"domain_scores_gemma":[0.9998838,0.00002048706,0.0000194893,0.00001222233,0.00004486313,0.000019171],"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":[0.00002154226,0.000009820053,0.00003219205,0.00002348862,0.000002190415,0.0000219784,0.000006460128,0.00005443182,0.9980108,0.00008502946,0.0001045543,0.001627524],"study_design_scores_gemma":[0.00001137856,0.0001119033,0.0005190169,0.000004253289,0.00001099398,0.0001792088,0.000007752639,0.003912754,0.9924488,0.00006642125,0.002718617,0.000008902052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755468,0.006464563,0.1024547,0.0007087262,0.0008056047,0.0001493767,0.0006732812,0.001111861,0.01208519],"genre_scores_gemma":[0.9190835,0.00141497,0.06792692,0.0006068727,0.00006305974,0.0001355615,0.0005038196,0.00006432202,0.01020103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008970068,"threshold_uncertainty_score":0.003793776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686733471154021,"score_gpt":0.2727730804100166,"score_spread":0.2559057456984764,"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."}}