{"id":"W4232752534","doi":"10.1515/iupac.85.0359","title":"Charge Exchange Ionization (CEI)","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; Analytical Chemistry (journal); 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":[0.00329982,0.002209763,0.002254273,0.006317145,0.001350583,0.005275413,0.003920763,0.00174326,0.155438],"category_scores_gemma":[0.01862428,0.0006566575,0.001776703,0.0150306,0.0005407273,0.004681636,0.002954554,0.002537409,0.2284598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334452,"about_ca_system_score_gemma":0.004837532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236487,"about_ca_topic_score_gemma":0.01340598,"domain_scores_codex":[0.9954978,0.0006431428,0.0007124954,0.001182723,0.001620514,0.000343402],"domain_scores_gemma":[0.9928091,0.001686601,0.0009992534,0.00175639,0.0024909,0.000257715],"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":[0.00009997487,0.00001255796,0.0006834919,0.001617922,0.00006424886,0.0000198043,0.00001831459,0.0001314291,0.0002292329,0.001032447,0.9836205,0.01246998],"study_design_scores_gemma":[0.00005797776,0.000009418742,0.001538792,0.0004097127,0.00003792442,0.0000536642,0.00002767554,0.000130254,0.0005422472,0.00238671,0.9947802,0.00002550065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001096623,0.0005944485,0.0006224504,0.000170172,0.00008542927,0.00005368,0.9927309,0.001313546,0.004319643],"genre_scores_gemma":[0.0006862707,0.00097424,0.002077983,0.0003046696,0.00003275204,0.0002440751,0.9924322,0.0004290709,0.002818696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.155438,"threshold_uncertainty_score":0.519992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358241384068914,"score_gpt":0.3720450396039258,"score_spread":0.3584626257632366,"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."}}