{"id":"W4250825048","doi":"10.1515/iupac.85.0386","title":"Constant Neutral Mass Gain Spectrum","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; Analytical Chemistry (journal); Tandem mass spectrometry; Chromatography; 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":[0.001417575,0.001645979,0.001301998,0.004518848,0.001107515,0.003497168,0.002687291,0.001362475,0.0925775],"category_scores_gemma":[0.007477448,0.0004940081,0.001145564,0.007502069,0.0004001073,0.002762011,0.002071113,0.001838939,0.2164261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183945,"about_ca_system_score_gemma":0.002967685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01621686,"about_ca_topic_score_gemma":0.02270493,"domain_scores_codex":[0.9980276,0.0002065889,0.0002116515,0.0004895456,0.000863241,0.0002013008],"domain_scores_gemma":[0.9968443,0.0004830071,0.0003138437,0.0008204427,0.001386256,0.0001520929],"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":[0.0000948819,0.00001540832,0.000721927,0.0005079653,0.00002489481,0.00001804476,0.00001547925,0.0001314779,0.0002123401,0.000864695,0.988557,0.008835936],"study_design_scores_gemma":[0.00005979655,0.000009376376,0.00251883,0.000195366,0.00001695034,0.00005022497,0.000037454,0.0002009037,0.0005626033,0.001743561,0.9945856,0.00001941917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000190029,0.0001907478,0.0003237935,0.0001133594,0.00006011948,0.00002202512,0.9943083,0.001149099,0.003642528],"genre_scores_gemma":[0.0005713261,0.0002322383,0.0007970883,0.00009132615,0.00001581801,0.00006859957,0.9955845,0.0002060478,0.002433072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9074225,"threshold_uncertainty_score":0.3097026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147593892785733,"score_gpt":0.3639072446079332,"score_spread":0.3524313056800759,"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."}}