{"id":"W4247896276","doi":"10.1515/iupac.78.0269","title":"Enantiomer","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; Chemical nomenclature; Computer science; Relation (database); Data science; Management science; Chemistry; Engineering; Data mining; Linguistics","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":[0.0007496168,0.001819536,0.001532973,0.003689956,0.0008432222,0.002487388,0.002286093,0.001505304,0.165103],"category_scores_gemma":[0.006235462,0.0004903068,0.001459722,0.006361858,0.0003856257,0.002191057,0.001698597,0.001662594,0.1491614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473227,"about_ca_system_score_gemma":0.002351479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02151701,"about_ca_topic_score_gemma":0.04034596,"domain_scores_codex":[0.9989206,0.0001409722,0.0002124318,0.0003823487,0.0002326292,0.0001110218],"domain_scores_gemma":[0.9976106,0.0006728157,0.0004035578,0.0004922859,0.0006645394,0.0001563091],"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":[0.0001214734,0.00001757998,0.001027241,0.001476907,0.00003387941,0.00003188032,0.00001957672,0.0001434522,0.0001312415,0.0008348854,0.9903346,0.005827294],"study_design_scores_gemma":[0.00009671447,0.00001278491,0.002595264,0.0005178068,0.0000280023,0.00007609173,0.00004732418,0.00009786103,0.0001538588,0.001042379,0.9953144,0.00001756827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008158482,0.0001531277,0.00005652687,0.00005528176,0.00002089447,0.00001159405,0.9982141,0.0001026047,0.001304338],"genre_scores_gemma":[0.0004283877,0.000203116,0.0002614595,0.0001322365,0.000009864792,0.00006795628,0.9974897,0.0000507835,0.001356479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.165103,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538427854587122,"score_gpt":0.3576280175272724,"score_spread":0.3422437389814011,"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."}}