{"id":"W4321783415","doi":"10.3920/wmj2022.2822","title":"Developments in mycotoxin analysis: an update for 2021-22","year":2023,"lang":"en","type":"article","venue":"World Mycotoxin Journal","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Carleton University","funders":"Agricultural Research Service; Grantová Agentura České Republiky; U.S. Department of Agriculture","keywords":"Mycotoxin; Biochemical engineering; Computer science; Nanotechnology; Biotechnology; Engineering; Biology; Materials science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001307126,0.0003074632,0.0004905363,0.0003481731,0.0004672311,0.0002576772,0.0006890121,0.0001368415,0.001770193],"category_scores_gemma":[0.00007673812,0.000125839,0.0003608005,0.005368003,0.00003437633,0.0003876882,0.0001021837,0.0004353198,0.0004179102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009708465,"about_ca_system_score_gemma":0.00003096558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001914666,"about_ca_topic_score_gemma":0.004594814,"domain_scores_codex":[0.9972702,0.000181254,0.000718795,0.0005169312,0.0004628495,0.0008499166],"domain_scores_gemma":[0.9989312,0.0002093418,0.0002493885,0.0001169411,0.0001329916,0.0003601833],"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":[0.0007102507,0.001609975,0.1651307,0.00004308413,0.0016809,0.0005141706,0.001308904,0.001363124,0.4651351,0.005274992,0.1529036,0.2043251],"study_design_scores_gemma":[0.0009338349,0.0004058577,0.4105679,0.00007214237,0.0002145782,0.00006168736,0.0008401811,0.0004999277,0.005740461,0.0024144,0.5773972,0.0008517838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937845,0.0002053428,0.00003438807,0.001178433,0.0005363703,0.0006214908,0.0001129571,0.0001234758,0.003403075],"genre_scores_gemma":[0.9910589,0.0002494892,0.001409101,0.000571291,0.001053447,0.0001490075,0.0005955209,0.000004383913,0.004908887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4593947,"threshold_uncertainty_score":0.9991423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246581112289595,"score_gpt":0.2631745780527446,"score_spread":0.2407087669298486,"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."}}