{"id":"W4250823617","doi":"10.1515/iupac.85.0578","title":"Mass Peak","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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; Standardization; Accelerator mass spectrometry; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002150333,0.002058592,0.001651255,0.006239414,0.001306149,0.005014106,0.003219445,0.001791199,0.1767433],"category_scores_gemma":[0.01261379,0.0007408554,0.001679619,0.01060867,0.0004618024,0.004075437,0.003357243,0.002226435,0.3297354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397821,"about_ca_system_score_gemma":0.004177554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0172114,"about_ca_topic_score_gemma":0.02204695,"domain_scores_codex":[0.996734,0.0003911917,0.0004792359,0.0009786431,0.001109501,0.0003074595],"domain_scores_gemma":[0.9938015,0.001148423,0.0007170336,0.001484107,0.002536813,0.0003122223],"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":[0.00007089378,0.000009672603,0.0007168213,0.0007750316,0.00002747394,0.00001664151,0.00002746472,0.00008834585,0.0001627601,0.00113128,0.9890947,0.007878893],"study_design_scores_gemma":[0.00003196297,0.000005328122,0.001385256,0.0002852186,0.00001506279,0.00003307954,0.00003994236,0.00008135018,0.0002305873,0.001307995,0.9965686,0.00001567723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006779578,0.0001415307,0.0002544101,0.0001286827,0.00005185615,0.00001859559,0.9960822,0.0007779788,0.002476831],"genre_scores_gemma":[0.0002758303,0.0002247182,0.0008280496,0.0001386729,0.00001762731,0.0000816046,0.9958553,0.0002764703,0.002301727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8232567,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598387154830284,"score_gpt":0.4154483020821923,"score_spread":0.3994644305338895,"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."}}