{"id":"W4245447616","doi":"10.1515/iupac.85.0733","title":"Sheath Flow Interface","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; 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":[0.003608212,0.001577629,0.002237295,0.004210503,0.001230016,0.005351486,0.00253939,0.001363844,0.1951762],"category_scores_gemma":[0.01427442,0.0006951963,0.001718013,0.007993812,0.0003813121,0.003868112,0.002678167,0.001835069,0.3000243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607568,"about_ca_system_score_gemma":0.004291145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008934298,"about_ca_topic_score_gemma":0.009646955,"domain_scores_codex":[0.9966234,0.0005415126,0.0005468437,0.0009289536,0.001069963,0.0002892998],"domain_scores_gemma":[0.9944941,0.001565785,0.0005775625,0.001308442,0.001810485,0.0002435194],"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":[0.000266634,0.00002883118,0.001074783,0.001768601,0.00007248227,0.00002857407,0.00004874622,0.0001933775,0.0007204606,0.00118433,0.9583451,0.03626799],"study_design_scores_gemma":[0.0000654047,0.00001492631,0.001245965,0.0002261655,0.00003743235,0.00004162295,0.00002448587,0.0001898843,0.000983229,0.001324238,0.9958259,0.00002073282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005131811,0.001142735,0.002923361,0.0003478678,0.0002332333,0.0002061744,0.9753195,0.00724289,0.01207114],"genre_scores_gemma":[0.001684547,0.00127646,0.005958156,0.0005222858,0.00008113662,0.0006044889,0.979977,0.001742026,0.008153928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1951762,"threshold_uncertainty_score":0.6529294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150328498705712,"score_gpt":0.3896034902632406,"score_spread":0.3781002052761835,"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."}}