{"id":"W1965739897","doi":"10.1007/s00217-001-0438-1","title":"Towards the development of a dipstick immunoassay for the detection of trace amounts of egg proteins in food","year":2002,"lang":"en","type":"article","venue":"European Food Research and Technology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Health Canada","keywords":"Dipstick; Immunoassay; Analyte; Chromatography; Polyclonal antibodies; Chemistry; Antibody; Food science; Biotechnology; Biochemistry; Biology; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002789039,0.001222899,0.0009715706,0.001077374,0.0003938993,0.001579121,0.001907994,0.002171518,0.0008038729],"category_scores_gemma":[0.002373088,0.000919282,0.0006349165,0.0004429853,0.001056119,0.001104245,0.001201171,0.002957309,0.001256147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008583316,"about_ca_system_score_gemma":0.001367112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031946,"about_ca_topic_score_gemma":0.001542845,"domain_scores_codex":[0.9985096,0.0003495185,0.00009526726,0.0002965491,0.0006206142,0.0001285209],"domain_scores_gemma":[0.9988985,0.0002990866,0.0000745744,0.00008992747,0.0004425739,0.0001953259],"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":[0.00008922072,0.0001069277,0.0003698438,0.0001489461,0.00001840559,0.00005112563,0.00004692168,0.0003070655,0.9730759,0.0009102258,0.0002510032,0.02462437],"study_design_scores_gemma":[0.00004007811,0.0007655255,0.001074396,0.00004171154,0.00004886651,0.000597376,0.00003889018,0.01245272,0.9743279,0.0008076717,0.009765799,0.00003895057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1168466,0.007130772,0.8690457,0.001400461,0.0004147341,0.0007185905,0.0003308488,0.001580701,0.002531617],"genre_scores_gemma":[0.2086093,0.004169685,0.7780406,0.001032132,0.00009630183,0.0003688578,0.0007751635,0.000135096,0.006772848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002789039,"threshold_uncertainty_score":0.01475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08596245379494491,"score_gpt":0.3103577525371073,"score_spread":0.2243952987421624,"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."}}