{"id":"W4245240893","doi":"10.1515/iupac.85.0609","title":"Monoisotopic Mass","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; Monoisotopic mass; Chemistry; Accelerator mass spectrometry; Standardization; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; 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":[0.002035382,0.001964906,0.00161618,0.006194158,0.001061876,0.003907896,0.003020307,0.001541134,0.1195364],"category_scores_gemma":[0.01271216,0.0006900698,0.001514657,0.01062834,0.0004852425,0.003494456,0.002136716,0.002105241,0.1948489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876708,"about_ca_system_score_gemma":0.003547171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01266273,"about_ca_topic_score_gemma":0.01708488,"domain_scores_codex":[0.9968304,0.0003445806,0.0005058244,0.0009479645,0.001120811,0.0002503833],"domain_scores_gemma":[0.9948502,0.001065456,0.000744101,0.001269335,0.001859144,0.0002117523],"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":[0.0001245481,0.00001879972,0.001272122,0.001408945,0.00004746382,0.0000278546,0.0000210074,0.0001526243,0.0003314476,0.00103311,0.9827421,0.01282005],"study_design_scores_gemma":[0.00006234344,0.00001028451,0.0029619,0.0003812316,0.00002956568,0.00007592281,0.00003943277,0.0001365407,0.0005326885,0.001802566,0.9939442,0.0000232389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001698395,0.0004194238,0.0004017086,0.0001171234,0.00007315331,0.0000284986,0.9953918,0.0007250519,0.002673439],"genre_scores_gemma":[0.0006461929,0.0005214018,0.001033103,0.0001482559,0.00002384661,0.0001093709,0.9951196,0.0001975411,0.002200746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1195364,"threshold_uncertainty_score":0.399889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129132457923549,"score_gpt":0.377786411593125,"score_spread":0.3664950870138895,"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."}}