{"id":"W2998426464","doi":"10.1016/j.foodchem.2019.126133","title":"Aptameric biosensor for the sensitive detection of major shrimp allergen, tropomyosin","year":2019,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Aptamer; Detection limit; Biosensor; Chemistry; Chromatography; Tropomyosin; Allergen; Mass spectrometry; Stacking; Molecular biology; Biochemistry; Biology; Allergy; Immunology","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":[0.00009413633,0.0001572965,0.0001731868,0.00001496525,0.00006248475,0.000008536678,0.0001296067,0.0001620415,0.000002807765],"category_scores_gemma":[0.00005697433,0.0001166405,0.0002121018,0.0001038738,0.0001031662,0.000002149533,0.00005300166,0.00007617217,0.000002443153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001430809,"about_ca_system_score_gemma":0.00002622546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004776491,"about_ca_topic_score_gemma":0.000007069806,"domain_scores_codex":[0.9991898,0.00001568732,0.0001970429,0.0003100689,0.0001011937,0.0001861952],"domain_scores_gemma":[0.999211,0.00003003531,0.0001603582,0.0004104845,0.0001533768,0.00003472918],"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":[0.0001706831,0.00003013541,0.00002218371,0.00003832395,0.0001720299,1.943168e-7,0.000007928345,0.000006509727,0.9970145,0.00000250272,0.0001728718,0.002362155],"study_design_scores_gemma":[0.0003057653,0.0003853097,0.0000542241,0.00001124954,0.00006179098,0.00001331617,0.0001930517,0.0001178192,0.9877353,0.00001550734,0.01094862,0.0001580219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939175,0.0003166767,0.004792851,0.0001212196,0.00007018382,0.0002622156,0.00009319045,0.00003082388,0.0003953757],"genre_scores_gemma":[0.9972015,0.0000944791,0.001491528,0.00007532629,0.0001858021,0.00001569539,0.00008661668,0.00002241578,0.000826609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01077575,"threshold_uncertainty_score":0.4756463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006018840036802533,"score_gpt":0.23211532759812,"score_spread":0.2260964875613174,"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."}}