{"id":"W4253170388","doi":"10.1515/iupac.78.0526","title":"Reference Material","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Management science; Data science; Chemistry; Engineering; Data mining","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":[0.0003459076,0.0003087333,0.0005249023,0.00002076993,0.0001495107,0.00009101295,0.0005368093,0.0003500485,0.02816851],"category_scores_gemma":[0.0001840563,0.00008767958,0.0001678139,0.0001682861,0.00007929965,0.00006117303,0.0001729736,0.0002146598,0.000009137699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009629,"about_ca_system_score_gemma":0.0000743087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008495688,"about_ca_topic_score_gemma":0.006989989,"domain_scores_codex":[0.997941,0.0001019544,0.0003897773,0.0004594529,0.0007262973,0.000381507],"domain_scores_gemma":[0.999071,0.0001214635,0.0002177401,0.0001792168,0.0002573339,0.0001532188],"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":[0.00007393298,0.00006315008,0.000011385,0.00001097563,0.00003660829,0.000026709,4.062389e-7,9.250649e-8,0.001168421,0.000006771061,0.9803516,0.01825],"study_design_scores_gemma":[0.0000951796,0.0001740417,0.001231271,0.0001075823,0.00007778464,0.000005711761,0.000005483676,4.442569e-7,0.00006072755,0.0001708514,0.9977756,0.0002953117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004773447,0.0001495882,0.000001041278,0.0008361208,0.0002363391,0.00009571265,0.9937779,0.00004205342,0.00008776856],"genre_scores_gemma":[0.0005795125,0.001357772,0.000004586925,0.000205778,0.001560131,0.000006326181,0.9960055,0.000001177934,0.0002792546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02815937,"threshold_uncertainty_score":0.9727198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120354161777301,"score_gpt":0.3580693530678695,"score_spread":0.3368658114500965,"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."}}