{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003198869,0.0003678668,0.0002796105,0.0002131607,0.0002252077,0.0002778553,0.0005669316,0.0007888392,0.001433998],"category_scores_gemma":[0.0003465591,0.0002364663,0.000173891,0.0001761932,0.00019907,0.000297284,0.0003961252,0.0008403138,0.0007072659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000413577,"about_ca_system_score_gemma":0.0002134908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003508571,"about_ca_topic_score_gemma":0.000690575,"domain_scores_codex":[0.999638,0.00004407961,0.00001878821,0.00009541812,0.0001622904,0.00004142496],"domain_scores_gemma":[0.9998381,0.00003732411,0.0000228457,0.00001378641,0.00004250024,0.00004533149],"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":[0.00002559545,0.000009906,0.00004359156,0.00001531844,0.000001460875,0.00002570654,0.000009375316,0.0000270758,0.9982168,0.0000850067,0.0000706191,0.001469494],"study_design_scores_gemma":[0.000008332687,0.0001345257,0.0005476521,0.000003108156,0.000005480601,0.000388677,0.00001196372,0.002715115,0.9939761,0.00008334463,0.002119594,0.000006193384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7927224,0.003181682,0.1969618,0.0008840353,0.0004526461,0.0001265907,0.0005070837,0.001407626,0.003756088],"genre_scores_gemma":[0.9364256,0.0009590642,0.05140385,0.000517179,0.00006380558,0.00007201464,0.0004209554,0.00004387493,0.0100935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001433998,"threshold_uncertainty_score":0.00479722,"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."}}