{"id":"W4401328416","doi":"10.1016/j.foodchem.2024.140777","title":"Employing conductive porous hydrogen-bonded organic framework for ultrasensitive detection of peanut allergen Ara h1","year":2024,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Detection limit; Hydroquinone; Linear range; Electrochemistry; Allergen; Materials science; Nanotechnology; Chromatography; Chemistry; Electrode; Allergy; Organic chemistry; Medicine","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":[0.0001074845,0.0002699991,0.0001005471,0.0001550062,0.0001366827,0.0002268811,0.0004206973,0.0004520684,0.000499284],"category_scores_gemma":[0.0001812969,0.0001368427,0.0001360648,0.0001139412,0.0002056094,0.0003090621,0.0002501159,0.0002291009,0.0001745106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001979532,"about_ca_system_score_gemma":0.0001577312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005334452,"about_ca_topic_score_gemma":0.0009983653,"domain_scores_codex":[0.9999229,0.000007711532,0.000002159466,0.00002049071,0.00002212842,0.00002460807],"domain_scores_gemma":[0.9999198,0.00002663406,0.0000198987,0.000006384857,0.00001360706,0.00001369415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004837165,0.000009108375,0.000056865,0.00004443721,0.000003331224,0.00009147631,0.00001286816,0.00009403875,0.9965398,0.0001433958,0.00004161396,0.002914725],"study_design_scores_gemma":[0.000007722724,0.000125587,0.0006524139,0.000002731568,0.000009027342,0.0001557739,0.0000149507,0.001809717,0.9959436,0.00006785314,0.001202582,0.000008076183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682898,0.001784848,0.02644017,0.0001732043,0.00007571832,0.00002465948,0.0001280609,0.0004280453,0.002655559],"genre_scores_gemma":[0.9901232,0.0004900121,0.008123593,0.00005808312,0.00001346036,0.00000787592,0.00006125083,0.000009627011,0.001112923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005334452,"threshold_uncertainty_score":0.001670241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156158330396412,"score_gpt":0.2683129565631783,"score_spread":0.2567513732592142,"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."}}