{"id":"W4240965353","doi":"10.1515/iupac.85.0404","title":"Daughter Ion Analysis","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; Tandem mass spectrometry; Accelerator mass spectrometry; Analytical Chemistry (journal); Chromatography; Business; European union; 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":[0.002167758,0.001939121,0.001693973,0.004522421,0.001036145,0.003611227,0.002979297,0.001420573,0.09365025],"category_scores_gemma":[0.0112811,0.0006363728,0.001971574,0.006890114,0.0003877191,0.002420893,0.002327274,0.001803934,0.1533135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708233,"about_ca_system_score_gemma":0.003291421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242589,"about_ca_topic_score_gemma":0.0167519,"domain_scores_codex":[0.997506,0.0003085574,0.0003987478,0.000802372,0.0007707807,0.0002136088],"domain_scores_gemma":[0.9949369,0.001111389,0.0006249537,0.001323161,0.001798599,0.0002048432],"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":[0.0001726064,0.00002285459,0.002504264,0.001735541,0.00008984239,0.00004185568,0.00002948895,0.0002923131,0.0003691436,0.001130331,0.9764837,0.01712812],"study_design_scores_gemma":[0.00007498965,0.000009966185,0.003101214,0.000381828,0.00004379166,0.00006363263,0.00004487592,0.0001733694,0.0007043695,0.001694668,0.9936829,0.0000244297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001772925,0.0002335209,0.0003818216,0.00009463933,0.00004848732,0.00002906105,0.9962846,0.0007443425,0.002006192],"genre_scores_gemma":[0.0005923923,0.0003190458,0.001294347,0.0001180151,0.00001598773,0.0001200976,0.9953918,0.0002140496,0.001934315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09365025,"threshold_uncertainty_score":0.3132913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063497147264457,"score_gpt":0.3872931330650664,"score_spread":0.3766581615924218,"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."}}