{"id":"W4241794553","doi":"10.1515/iupac.85.0598","title":"Metastable Ion","year":2016,"lang":"eo","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 Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Accelerator mass spectrometry; European commission; Standardization; Tandem mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; European union; Business; Organic chemistry","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":[0.001706517,0.001611211,0.0015983,0.003830711,0.0008050504,0.003147004,0.002738913,0.001360359,0.08683959],"category_scores_gemma":[0.01078069,0.0005028227,0.002058933,0.006688868,0.0003699765,0.002366463,0.002119784,0.001805951,0.1255584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456577,"about_ca_system_score_gemma":0.003478034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159909,"about_ca_topic_score_gemma":0.01752518,"domain_scores_codex":[0.9978883,0.0002855416,0.0003633518,0.0006102193,0.0006439904,0.0002086809],"domain_scores_gemma":[0.9965919,0.0007480236,0.0004915792,0.0008682358,0.001087157,0.0002130558],"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":[0.0002269386,0.00002340265,0.002127214,0.001628093,0.00008477846,0.00003291896,0.00002175857,0.00022406,0.0002389357,0.0009494905,0.9798218,0.01462066],"study_design_scores_gemma":[0.0001604939,0.00002323821,0.004817698,0.0005433451,0.00006826542,0.0001060999,0.00004102819,0.0002790018,0.0005638884,0.002072765,0.9912964,0.00002774254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001909844,0.0003604435,0.0003101722,0.0001277478,0.00006713243,0.00003760889,0.9961351,0.0007107692,0.002060144],"genre_scores_gemma":[0.0006949486,0.0003851576,0.0008448587,0.0001698288,0.00002517627,0.0001442706,0.9959595,0.000162274,0.001614054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08683959,"threshold_uncertainty_score":0.2905074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652978476080019,"score_gpt":0.4017060722303676,"score_spread":0.3851762874695674,"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."}}