{"id":"W4233247417","doi":"10.32920/ryerson.14654982","title":"Enzyme-linked immunosorbent assay (ELISA) for the screening of dioxins in fish samples","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Chemistry; Chromatography; Fish <Actinopterygii>; Silica gel; Sample preparation; Gas chromatography; Contamination; Environmental chemistry; Fishery; Biology; Ecology","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":[0.0007019929,0.0001773796,0.0002326247,0.00006308182,0.00007678731,0.00008713805,0.000504451,0.0003074742,0.00008226297],"category_scores_gemma":[0.0004865559,0.0001480298,0.000261265,0.00008689947,0.00008948,0.000002318353,0.0003949211,0.0001938883,0.000001225802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001232075,"about_ca_system_score_gemma":0.0001529547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001307911,"about_ca_topic_score_gemma":0.0008069408,"domain_scores_codex":[0.9985201,0.0001219829,0.0005524704,0.0004736776,0.0001603555,0.0001714262],"domain_scores_gemma":[0.9982434,0.0001270156,0.0002899344,0.0009700985,0.0003405171,0.00002906764],"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":[0.0001328112,0.0003432287,0.002578726,0.0003626878,0.0005310911,4.777224e-7,0.0004459222,0.00359935,0.9687793,0.003665509,0.01204794,0.007512954],"study_design_scores_gemma":[0.0006900181,0.00004207496,0.03705436,0.000125281,0.00007379048,0.000002489534,0.001544978,0.001809267,0.8898033,0.00007609462,0.06840073,0.0003775674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4260225,0.003280986,0.5615957,0.003657681,0.001634031,0.001886194,0.000570415,0.00003554696,0.001316887],"genre_scores_gemma":[0.98914,0.0008159918,0.004720381,0.0002727174,0.0001431999,0.0002861766,0.002578164,0.00002729241,0.002016057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5631175,"threshold_uncertainty_score":0.6036479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06461033886906782,"score_gpt":0.3126914902027638,"score_spread":0.248081151333696,"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."}}