{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001563034,0.0004335853,0.0005389504,0.0001043846,0.0001146069,0.00006194241,0.0007075519,0.0005204317,0.1616692],"category_scores_gemma":[0.0001802193,0.0003379692,0.0002094617,0.0002600712,0.000127441,0.00004329538,0.0002082976,0.0005659034,0.000008129457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005623713,"about_ca_system_score_gemma":0.0003961724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007515094,"about_ca_topic_score_gemma":0.00004707194,"domain_scores_codex":[0.9976641,0.00001419274,0.0004629176,0.0005853876,0.0007971558,0.0004762418],"domain_scores_gemma":[0.9977964,0.00008521073,0.0003146445,0.001333675,0.0002757958,0.0001943326],"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":[0.00002630102,0.0001641314,0.00001050492,0.0001539305,0.00005786976,0.00002431722,0.000001110006,4.550234e-8,0.000186314,0.0002591257,0.9966145,0.00250185],"study_design_scores_gemma":[0.0004766917,0.00003117672,0.000001771213,0.0002073754,0.00009369559,0.00001640142,0.00000474617,0.000001837993,0.0009508919,0.000955751,0.9968246,0.0004350927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002370047,0.0006364561,0.0001714567,0.0006527612,0.0001064495,0.0001417421,0.9945717,0.0002785332,0.003417212],"genre_scores_gemma":[0.00007453645,0.002331284,0.0001427558,0.0001770072,0.001134034,0.00007244892,0.9929607,0.00004947276,0.003057773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1616611,"threshold_uncertainty_score":0.9999073,"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."}}