{"id":"W4231158204","doi":"10.1515/iupac.85.0740","title":"Space Charge Effect","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; Analytical Chemistry (journal); Computer science; Chromatography; Organic chemistry; Linguistics","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":[0.002561547,0.002184831,0.002098977,0.005195038,0.001535307,0.006701622,0.003052375,0.002038741,0.2867954],"category_scores_gemma":[0.02317509,0.0008128676,0.00234946,0.01234645,0.0006632136,0.005121474,0.003707841,0.002352331,0.3959225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002395261,"about_ca_system_score_gemma":0.005547025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153669,"about_ca_topic_score_gemma":0.01437596,"domain_scores_codex":[0.9950731,0.0007378915,0.0008826731,0.001202519,0.001599152,0.0005046176],"domain_scores_gemma":[0.9887357,0.001991383,0.001119204,0.003752563,0.003875883,0.0005251022],"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":[0.00005654285,0.000008646189,0.0004483702,0.0004948981,0.0000199475,0.00001193744,0.00001435563,0.00009855803,0.00005697849,0.0008379566,0.9898438,0.008107851],"study_design_scores_gemma":[0.00004080413,0.000007221939,0.0009400402,0.0002825303,0.00001451439,0.00003211868,0.00002738924,0.00007002217,0.0001606087,0.001482138,0.9969296,0.00001303743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001112745,0.0003682786,0.0003896066,0.0003131035,0.0003215892,0.00004526827,0.990056,0.001442183,0.006952723],"genre_scores_gemma":[0.000946246,0.0006643677,0.0009762332,0.0004412605,0.0000888417,0.0001839011,0.988755,0.0006005477,0.00734377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2867954,"threshold_uncertainty_score":0.9594261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007971948277350921,"score_gpt":0.3738033115928102,"score_spread":0.3658313633154592,"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."}}