{"id":"W4233480945","doi":"10.1515/iupac.78.0330","title":"GLP Study","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Pesticide; Management science; Data science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00182999,0.001274238,0.001341429,0.003537158,0.0009668137,0.002490911,0.00254659,0.002058364,0.1741746],"category_scores_gemma":[0.01321079,0.0004516573,0.001698495,0.006581577,0.0003288898,0.001974757,0.001858138,0.002096275,0.1032674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002068209,"about_ca_system_score_gemma":0.004610246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02745887,"about_ca_topic_score_gemma":0.04613708,"domain_scores_codex":[0.9979545,0.0003481791,0.0004087386,0.0006452012,0.0004132561,0.0002300134],"domain_scores_gemma":[0.9942925,0.00158478,0.0008783219,0.001093854,0.001779777,0.0003707529],"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":[0.0001835863,0.00002548957,0.00248589,0.001215979,0.000046874,0.00004130978,0.00002475187,0.00009956138,0.00005983857,0.0009973319,0.9881638,0.006655747],"study_design_scores_gemma":[0.0002836171,0.00002629038,0.007177641,0.001872614,0.00006769264,0.0001173502,0.0001226148,0.0001301579,0.0001142097,0.001614216,0.9884452,0.00002837787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000191155,0.000161396,0.00009664676,0.0001561169,0.00003807556,0.00005141247,0.9969794,0.0000704697,0.002255472],"genre_scores_gemma":[0.0009013974,0.0002378956,0.0004515124,0.0003410554,0.00002842496,0.0003959148,0.9948121,0.00005694133,0.002774758],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8258255,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048057997781457,"score_gpt":0.4498586165063704,"score_spread":0.4293780365285559,"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."}}