{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002429308,0.001680523,0.001779855,0.006229039,0.001133004,0.005335122,0.003081948,0.001939511,0.3017643],"category_scores_gemma":[0.0218991,0.000657779,0.001875999,0.009747673,0.0005821036,0.003967445,0.002824907,0.002157303,0.3558208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002315859,"about_ca_system_score_gemma":0.005176684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061532,"about_ca_topic_score_gemma":0.01297951,"domain_scores_codex":[0.9960877,0.0005860325,0.0006804939,0.001127134,0.001149534,0.0003691108],"domain_scores_gemma":[0.9901997,0.00250303,0.000989225,0.002205927,0.003599848,0.0005022245],"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":[0.00007764226,0.00000797016,0.0005108646,0.0008734684,0.00001987404,0.00001805728,0.00001556001,0.00006781398,0.00008288814,0.000816938,0.9876537,0.009855318],"study_design_scores_gemma":[0.00005535899,0.000006008424,0.0008506887,0.0004336516,0.00001910774,0.00004552825,0.00004100511,0.00007646296,0.0002163089,0.001520506,0.9967214,0.00001388959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009179625,0.0003383039,0.0003804911,0.0003122738,0.0001767316,0.00005461274,0.9912509,0.001076574,0.006318451],"genre_scores_gemma":[0.0006724411,0.000595407,0.001397652,0.0005206979,0.00007068169,0.0002088193,0.9902777,0.0004750776,0.00578146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3017643,"threshold_uncertainty_score":0.9959485,"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."}}