{"id":"W4243614620","doi":"10.32920/ryerson.14654982.v1","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":0,"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; Gel permeation chromatography; Environmental chemistry; Fishery; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002936799,0.002196219,0.001188631,0.002751991,0.0005017247,0.0006997875,0.00115157,0.00131657,0.003414098],"category_scores_gemma":[0.001677974,0.0007295402,0.0008686759,0.001741219,0.000418224,0.0007161594,0.0007365216,0.001532346,0.006059569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003209787,"about_ca_system_score_gemma":0.0004305996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000307451,"about_ca_topic_score_gemma":0.0007078909,"domain_scores_codex":[0.996992,0.0007848304,0.0003007461,0.0005528326,0.001188867,0.0001807612],"domain_scores_gemma":[0.9989125,0.0004101454,0.00008856085,0.0001784419,0.0003507149,0.00005974034],"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":[0.00009615784,0.0002212454,0.002063701,0.0004357702,0.00005595086,0.0001249642,0.00003788501,0.0001215241,0.982076,0.0003239186,0.0008084991,0.01363432],"study_design_scores_gemma":[0.00005365923,0.0009831088,0.007896263,0.00009918812,0.000142837,0.00136564,0.00006287343,0.00253694,0.9612581,0.0004387735,0.02512525,0.00003746697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.159158,0.020669,0.776035,0.0009066984,0.001967,0.002913523,0.005764923,0.005072499,0.02751331],"genre_scores_gemma":[0.1845645,0.01353901,0.7663451,0.0006341987,0.0004628578,0.002398709,0.009870126,0.0002141603,0.02197136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003414098,"threshold_uncertainty_score":0.01553142,"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."}}