{"id":"W4249011866","doi":"10.1515/iupac.85.0383","title":"Concentric Nebulizer","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":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Accelerator mass spectrometry; Standardization; Analytical Chemistry (journal); Computer science; Chromatography; 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":[0.002557001,0.001526382,0.00179563,0.003011075,0.001049227,0.003567706,0.003103718,0.00148039,0.1087922],"category_scores_gemma":[0.01176071,0.0006704894,0.0017694,0.005282744,0.0003683325,0.00308692,0.002535108,0.001760433,0.1608482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584815,"about_ca_system_score_gemma":0.003784361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01167662,"about_ca_topic_score_gemma":0.01813559,"domain_scores_codex":[0.9970598,0.0004559526,0.0003837654,0.0008816765,0.001002659,0.0002161315],"domain_scores_gemma":[0.9959771,0.001181243,0.0005172454,0.0009597706,0.001173309,0.0001914654],"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":[0.0003067375,0.0000394559,0.00223012,0.001813453,0.00007841311,0.00002624189,0.00003575077,0.0003120065,0.0003045078,0.001352695,0.9553636,0.03813691],"study_design_scores_gemma":[0.0001377357,0.00002025715,0.003319781,0.0003845715,0.00004192362,0.00006325553,0.00004063671,0.0003244171,0.0005631606,0.001909845,0.9931659,0.00002855572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006233158,0.001021578,0.001264371,0.0003156019,0.0001415016,0.0001184742,0.9859676,0.002946998,0.007600626],"genre_scores_gemma":[0.001983331,0.001239199,0.003936168,0.0004595963,0.00005311307,0.0004035215,0.9852484,0.0007483838,0.005928373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1087922,"threshold_uncertainty_score":0.363946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136681932052083,"score_gpt":0.3851457155989265,"score_spread":0.3737788962784057,"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."}}