{"id":"W4247453032","doi":"10.1515/iupac.85.0789","title":"Volumetric Internal Standard","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; Standardization; Accelerator mass spectrometry; Tandem mass spectrometry; Analytical Chemistry (journal); Computer science; Chromatography","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":[0.007683877,0.001773861,0.00193669,0.008808361,0.001475585,0.007007093,0.004018453,0.002349478,0.1786074],"category_scores_gemma":[0.06390876,0.0007948607,0.002150053,0.01628062,0.001052135,0.005972922,0.004027702,0.00332453,0.2557141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003316344,"about_ca_system_score_gemma":0.009230431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195739,"about_ca_topic_score_gemma":0.01266781,"domain_scores_codex":[0.9855619,0.002776765,0.003054191,0.003499978,0.004153755,0.0009533667],"domain_scores_gemma":[0.9607397,0.01062577,0.003373111,0.01008701,0.01412026,0.001054185],"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":[0.00008646897,0.00001764733,0.0009633345,0.001027525,0.00003995142,0.00002043483,0.0000461526,0.0001667032,0.00009185099,0.002436814,0.9809122,0.01419084],"study_design_scores_gemma":[0.00005330274,0.000009236825,0.001570069,0.000744731,0.00002490425,0.00003536089,0.00007445893,0.0001085132,0.000180277,0.002700399,0.9944741,0.00002469603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001871413,0.0003341259,0.0009596894,0.0004238439,0.0002303832,0.0001186013,0.9896007,0.001088355,0.007057156],"genre_scores_gemma":[0.0007907804,0.0004181648,0.002019658,0.0004191354,0.00006461403,0.00058633,0.9911886,0.0004406788,0.004071904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1786074,"threshold_uncertainty_score":0.5975014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069463475168608,"score_gpt":0.3799432104126833,"score_spread":0.3692485756609972,"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."}}