{"id":"W4236998877","doi":"10.1515/iupac.78.0117","title":"Acid Equivalent (AE)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Renal function and acid-base balance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Pesticide; Computer science; Field (mathematics); Units of measurement; Management science; Data science; Engineering; Chemistry; Ecology; Data mining; Biology; Mathematics; 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":[0.0009383543,0.001436448,0.001396943,0.004605981,0.0006705854,0.002412037,0.001999554,0.001620003,0.1208343],"category_scores_gemma":[0.01008302,0.0004380888,0.00146136,0.00785467,0.0003892553,0.002253133,0.001766405,0.001771022,0.1072705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478719,"about_ca_system_score_gemma":0.002413105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01801226,"about_ca_topic_score_gemma":0.03007663,"domain_scores_codex":[0.9986448,0.0002206114,0.0003324523,0.0004302962,0.0002539551,0.0001178524],"domain_scores_gemma":[0.9963937,0.001324072,0.0005744806,0.0006098135,0.0009017772,0.0001960767],"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":[0.0001013958,0.00001594179,0.001421582,0.002260294,0.00004828555,0.0000381382,0.0000314893,0.0002415084,0.0001212915,0.001162412,0.9881379,0.006419813],"study_design_scores_gemma":[0.00007895849,0.00001041967,0.002720122,0.0006547656,0.00003136735,0.00007703503,0.00004617747,0.0001166885,0.0001250783,0.001373388,0.9947479,0.00001801289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008000759,0.0002323114,0.00007986648,0.00007745961,0.00002445345,0.00001186454,0.9981638,0.0001275671,0.001202821],"genre_scores_gemma":[0.0005630268,0.0003411002,0.0003864566,0.0001604865,0.0000160171,0.0001009225,0.9973858,0.0000642337,0.0009819366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1208343,"threshold_uncertainty_score":0.4042312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893994588306615,"score_gpt":0.4149384691141162,"score_spread":0.3959985232310501,"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."}}