{"id":"W4243034155","doi":"10.1515/iupac.78.0320","title":"GLC","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; Relation (database); Pesticide; Computer science; Management science; Data science; Environmental chemistry; Chemistry; Engineering; Ecology; Biology; 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":[0.001217656,0.001810801,0.001343572,0.006105801,0.00093384,0.002976483,0.003006257,0.001940917,0.1568154],"category_scores_gemma":[0.01015367,0.000580827,0.001374155,0.009959887,0.0004282527,0.002592678,0.002232713,0.001936086,0.1914077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120505,"about_ca_system_score_gemma":0.003638185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02676287,"about_ca_topic_score_gemma":0.05177442,"domain_scores_codex":[0.9983993,0.0002711452,0.0003015919,0.0005053008,0.0003447255,0.000177919],"domain_scores_gemma":[0.9963082,0.001094286,0.0004525823,0.0007729951,0.001101228,0.0002706273],"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":[0.00004220528,0.00001170716,0.000557545,0.0009299868,0.00002086788,0.00001659827,0.00002207659,0.0001531123,0.00007019051,0.0007282468,0.9944084,0.003039067],"study_design_scores_gemma":[0.00008621348,0.000008753143,0.001456811,0.0004675878,0.00001738108,0.00003614594,0.00005116199,0.0001425064,0.0001045707,0.001165672,0.9964468,0.00001650252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000383622,0.00006408225,0.00005241416,0.0000535601,0.00001350329,0.000009628811,0.9988173,0.0001776366,0.0007735647],"genre_scores_gemma":[0.0001452895,0.00007166321,0.0002152057,0.00006318546,0.000005107849,0.00006090416,0.9987765,0.00005664827,0.00060556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1568154,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154107361819627,"score_gpt":0.357551611674332,"score_spread":0.3421408754923693,"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."}}