{"id":"W4246502531","doi":"10.1515/iupac.78.0614","title":"Total Terminal Residue","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; Pesticide; Chemical nomenclature; Computer science; Data science; Chemistry; Ecology; Biology","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":[0.001358071,0.001826292,0.00155992,0.006364152,0.00102207,0.003216964,0.002414128,0.002011379,0.1182279],"category_scores_gemma":[0.01022302,0.0006688904,0.001316974,0.01099593,0.0005266698,0.002737259,0.002071543,0.002190287,0.1274931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210514,"about_ca_system_score_gemma":0.004320532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02314683,"about_ca_topic_score_gemma":0.04226161,"domain_scores_codex":[0.9980836,0.0002945669,0.0004270529,0.0005886499,0.0004225456,0.0001837031],"domain_scores_gemma":[0.9961709,0.001192563,0.0005234341,0.0007231255,0.001126835,0.0002630474],"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":[0.00006622321,0.00001380913,0.0006624409,0.001673607,0.00002681305,0.00002713289,0.00003346942,0.00017349,0.0001373322,0.0009392176,0.9927054,0.003540908],"study_design_scores_gemma":[0.00008838112,0.000009526027,0.001639714,0.000598028,0.00001990906,0.0000439077,0.00005500582,0.00009923688,0.0001534697,0.001024691,0.9962512,0.00001700108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004573897,0.0000891251,0.0000446761,0.00004754703,0.00001560992,0.000009852316,0.9989854,0.00009427196,0.0006678444],"genre_scores_gemma":[0.0001921243,0.0001129438,0.0002112807,0.0000688318,0.000005472913,0.0000800297,0.9986947,0.000044698,0.0005899467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1182279,"threshold_uncertainty_score":0.3955117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385701705274203,"score_gpt":0.3483597162596016,"score_spread":0.3345026992068596,"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."}}