{"id":"W4235312682","doi":"10.1515/iupac.85.0412","title":"Diagnostic 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; Analytical Chemistry (journal); Political science; Environmental chemistry; Chromatography; European union; Business; Linguistics; Law; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001664679,0.0003925853,0.000449664,0.000131246,0.0001108835,0.00005346733,0.0005979569,0.0004798497,0.09132706],"category_scores_gemma":[0.0007715967,0.000309792,0.0001756231,0.0001690175,0.00009512581,0.00004061516,0.0001904766,0.0005182568,0.000007168672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000461212,"about_ca_system_score_gemma":0.000264722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008646567,"about_ca_topic_score_gemma":0.0001244834,"domain_scores_codex":[0.9979463,0.00001330774,0.0004078867,0.0005326687,0.0007115148,0.0003883686],"domain_scores_gemma":[0.9977798,0.0003106035,0.0002608421,0.001276806,0.0002120054,0.0001599461],"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":[0.00001446185,0.0001934607,0.00001094442,0.0001983788,0.00004041661,0.00002684772,8.960885e-7,6.613865e-8,0.0002643055,0.0001886461,0.9965292,0.002532376],"study_design_scores_gemma":[0.0002872183,0.00004026196,0.000005021541,0.0004242514,0.00009073135,0.00001490005,0.000003798065,9.805157e-7,0.001510997,0.001749055,0.9954761,0.0003967083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004767345,0.000406853,0.0001709551,0.0006723445,0.0001150484,0.0001405884,0.9963639,0.0002635581,0.00181903],"genre_scores_gemma":[0.0001070855,0.00274275,0.0001037975,0.00009042984,0.001436887,0.0001206416,0.993983,0.00004739419,0.001367991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0913199,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048142447220878,"score_gpt":0.3780910458261804,"score_spread":0.3676096213539716,"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."}}