{"id":"W4393746461","doi":"10.5281/zenodo.7769406","title":"S26 | MYCOTOXINS | List of Mycotoxins from AAFC","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant and fungal interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Association of Friendship Centres","funders":"","keywords":"Mycotoxin; Column (typography); Library science; Biology; Computer science; Biotechnology; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002796286,0.0002104682,0.0002739034,0.00008538779,0.001229922,0.0004631205,0.001445397,0.0002034648,0.02570388],"category_scores_gemma":[0.0005302678,0.0001018898,0.0001284858,0.0006694567,0.0001199177,0.0001510248,0.001106177,0.0004793159,0.0322302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006734807,"about_ca_system_score_gemma":0.000002141637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915307,"about_ca_topic_score_gemma":0.0001526532,"domain_scores_codex":[0.998206,0.0002400591,0.0003524529,0.0004669806,0.0004007505,0.0003338179],"domain_scores_gemma":[0.9988983,0.000167899,0.0002363527,0.0002259055,0.0003055494,0.0001659391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003580248,0.0001899831,7.275888e-7,0.00002303369,0.00005392875,0.00001556005,0.00003399743,0.000001024167,0.02442125,0.00002874983,0.9682829,0.006913028],"study_design_scores_gemma":[0.0001242921,0.0002094397,0.0005210337,0.00007975438,0.00003232148,0.00001967543,0.0001277807,0.00001400217,0.0003677759,0.00005260146,0.9982389,0.0002124533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003665547,0.0000365332,0.000002336435,0.000368729,0.0003016315,0.0002853372,0.9899999,0.0003927112,0.004947198],"genre_scores_gemma":[0.002455432,0.0004148989,0.000008781445,0.0000836994,0.0005268014,6.999779e-8,0.9950304,0.00008163328,0.001398283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02995596,"threshold_uncertainty_score":0.9751868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05100205641293843,"score_gpt":0.242882820695956,"score_spread":0.1918807642830176,"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."}}