{"id":"W4230357450","doi":"10.1515/iupac.87.0092","title":"Barnes Maze","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"German Literature and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; 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":[0.0009101527,0.001648364,0.001423455,0.004080598,0.001051392,0.004438147,0.002498969,0.001551764,0.207449],"category_scores_gemma":[0.008568095,0.0006072628,0.001187276,0.006831893,0.0004032925,0.002829735,0.002949986,0.001603568,0.3208233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175998,"about_ca_system_score_gemma":0.002467712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374872,"about_ca_topic_score_gemma":0.03285401,"domain_scores_codex":[0.998716,0.0001977435,0.0001831862,0.0004455444,0.0002700516,0.0001874892],"domain_scores_gemma":[0.9970817,0.0007067444,0.0003137341,0.0007260338,0.0008564332,0.0003153918],"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":[0.0001023883,0.00001325321,0.001200338,0.0008135024,0.000022445,0.00002229201,0.00003946278,0.00009245932,0.00005645477,0.00118651,0.9883387,0.008112132],"study_design_scores_gemma":[0.00007163443,0.000008490131,0.001505189,0.0003252718,0.00001233376,0.00003707873,0.00007333501,0.00009870742,0.0001015821,0.001220799,0.996532,0.00001370853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001652651,0.000176916,0.0001349564,0.0001411894,0.00006045484,0.00002326318,0.9937745,0.0008820851,0.00464138],"genre_scores_gemma":[0.0006145792,0.0002118918,0.0004351561,0.0001587471,0.00002288717,0.00008666389,0.9942873,0.0002428955,0.003940016],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.207449,"threshold_uncertainty_score":0.6939862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569197943997105,"score_gpt":0.3510263045450632,"score_spread":0.3353343251050922,"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."}}