{"id":"W4250079412","doi":"10.1515/iupac.85.0349","title":"Brubaker Lens","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Terminology; Chemical nomenclature; Mass spectrometry; Chemistry; Standardization; Accelerator mass spectrometry; Nomenclature; Analytical Chemistry (journal); Computer science; Chromatography; Linguistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001397037,0.001534639,0.001816099,0.006050954,0.001137402,0.00740246,0.002120505,0.001488993,0.3051721],"category_scores_gemma":[0.01364961,0.0008389114,0.001587225,0.01371234,0.0004652268,0.003788822,0.002799796,0.002098534,0.4766894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861003,"about_ca_system_score_gemma":0.003992379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031478,"about_ca_topic_score_gemma":0.02676926,"domain_scores_codex":[0.9972704,0.0004187416,0.0003665141,0.0008597913,0.0007858311,0.0002986459],"domain_scores_gemma":[0.9949414,0.001417859,0.0004966372,0.00148145,0.001373601,0.0002892299],"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":[0.00006001518,0.00000857241,0.0004377624,0.0005192393,0.00002049177,0.00001291523,0.00002244769,0.00007718731,0.00005986936,0.001298366,0.9878352,0.009647859],"study_design_scores_gemma":[0.00002752263,0.000003856844,0.0008138142,0.0003341783,0.000008621156,0.00002669542,0.00003962239,0.00006964909,0.0001113661,0.00134847,0.9972057,0.00001054579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001058227,0.0002932127,0.0002717321,0.0001775927,0.00008155953,0.00001660005,0.9899786,0.001626789,0.007448043],"genre_scores_gemma":[0.0005668071,0.0005545915,0.0006979207,0.0001531539,0.00002620542,0.00007844673,0.9909045,0.0008142026,0.006204284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3051721,"threshold_uncertainty_score":0.9910877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465127296237073,"score_gpt":0.3847784699937615,"score_spread":0.3701271970313908,"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."}}