{"id":"W4255929306","doi":"10.1515/iupac.85.0623","title":"Negative Ion","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; European commission; Standardization; Tandem mass spectrometry; Accelerator mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; European union; Business; 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":[0.001933163,0.002145329,0.00189736,0.004546772,0.00127742,0.004971629,0.003316814,0.001653191,0.2054352],"category_scores_gemma":[0.01277946,0.0007193492,0.002048607,0.007900916,0.000510748,0.004027835,0.002866165,0.002010705,0.2967398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645018,"about_ca_system_score_gemma":0.003566282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105978,"about_ca_topic_score_gemma":0.01807545,"domain_scores_codex":[0.9970318,0.0004126201,0.0004035195,0.0008568633,0.001013257,0.0002819444],"domain_scores_gemma":[0.9952242,0.001051002,0.0005333278,0.001257497,0.001670556,0.0002635302],"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":[0.0001067305,0.00001233962,0.0006673398,0.00107665,0.00003443317,0.00002206886,0.00001603406,0.0001047126,0.0001394795,0.000747006,0.9885353,0.008537804],"study_design_scores_gemma":[0.00007586495,0.00001003476,0.001665107,0.0004514833,0.00002772499,0.00005991009,0.00004015164,0.0001201245,0.0003117201,0.001720645,0.9954948,0.00002238943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001327098,0.0003533772,0.0002878688,0.0001622228,0.0001156474,0.00003205629,0.9936343,0.001037412,0.004244306],"genre_scores_gemma":[0.0005064014,0.0004538684,0.0008425988,0.0002734954,0.0000322189,0.0001132328,0.994009,0.0003234597,0.003445628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2054352,"threshold_uncertainty_score":0.6872494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215486688904707,"score_gpt":0.3869789770586541,"score_spread":0.374824110169607,"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."}}