{"id":"W4251823018","doi":"10.1515/iupac.88.0433","title":"Amelia","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001369095,0.0009906678,0.001109715,0.004330087,0.0009176627,0.004033733,0.00170863,0.00132234,0.2387342],"category_scores_gemma":[0.01606635,0.0006292387,0.001263646,0.007992567,0.0003870389,0.003434996,0.002720177,0.001690674,0.2695992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130763,"about_ca_system_score_gemma":0.002653853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235085,"about_ca_topic_score_gemma":0.02145436,"domain_scores_codex":[0.9982212,0.0003107695,0.0003618047,0.0005473674,0.0003731476,0.0001857374],"domain_scores_gemma":[0.9950821,0.0015753,0.0005932221,0.001115263,0.001370245,0.0002638771],"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":[0.00005386344,0.000006888782,0.0008367042,0.000857242,0.00001616615,0.0000161343,0.00002885069,0.00005437963,0.0000492596,0.0009270149,0.9906372,0.006516297],"study_design_scores_gemma":[0.00004992933,0.000005878563,0.001782233,0.0005806447,0.00001173496,0.0000447907,0.00006001443,0.00006313857,0.00007270505,0.0009492683,0.9963682,0.00001160534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001610488,0.000215497,0.0001473183,0.0002809616,0.00008722108,0.0000281214,0.9936701,0.0004125485,0.004997116],"genre_scores_gemma":[0.0006208422,0.0003321609,0.0005549317,0.0003480744,0.00003545057,0.0001478095,0.9932722,0.000237303,0.004451163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2387342,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415156548913621,"score_gpt":0.4722167488461297,"score_spread":0.4480651833569935,"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."}}