{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563752,0.001642858,0.001559415,0.009738747,0.00105397,0.003368651,0.002580011,0.001908182,0.2415969],"category_scores_gemma":[0.01605915,0.0006783017,0.001264042,0.01627921,0.0005044823,0.003349911,0.002192583,0.002090163,0.2243531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002587803,"about_ca_system_score_gemma":0.004342761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02073306,"about_ca_topic_score_gemma":0.03849309,"domain_scores_codex":[0.9972249,0.0004177652,0.0006576005,0.000812306,0.0006433295,0.0002440475],"domain_scores_gemma":[0.9930339,0.002214878,0.0007755398,0.001214821,0.002340195,0.0004206996],"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":[0.00003538178,0.00001085952,0.0004881311,0.001214712,0.00001914949,0.00002401643,0.00002249846,0.0001376847,0.00008078167,0.0008096373,0.9926922,0.004465023],"study_design_scores_gemma":[0.0000474883,0.000006329491,0.001267809,0.0005838095,0.00001478363,0.00004544339,0.00004900424,0.00007834374,0.00009357027,0.001259434,0.9965389,0.00001511815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000395854,0.0001082648,0.00008702341,0.00005843701,0.00002643442,0.0000181155,0.9983215,0.0001248953,0.001215866],"genre_scores_gemma":[0.000165025,0.0001393174,0.0003463548,0.00009020618,0.000009664343,0.0001040507,0.99795,0.00006715616,0.001128284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2415969,"threshold_uncertainty_score":0.8082222,"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."}}