{"id":"W4231830064","doi":"10.1515/iupac.85.0649","title":"Peak Stripping","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); 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":[],"consensus_categories":[],"category_scores_codex":[0.003168706,0.002932688,0.002361177,0.008116378,0.00179132,0.005626545,0.004108238,0.002025345,0.1199548],"category_scores_gemma":[0.01538112,0.001068889,0.003075463,0.01089827,0.000573953,0.003733227,0.003092994,0.002587898,0.2164413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075818,"about_ca_system_score_gemma":0.005116139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633031,"about_ca_topic_score_gemma":0.02251132,"domain_scores_codex":[0.9957477,0.0005012979,0.0007395376,0.001325987,0.001306267,0.000379144],"domain_scores_gemma":[0.9921281,0.001851205,0.0008236997,0.002121914,0.002818174,0.0002568956],"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":[0.0001959112,0.00002565754,0.001152433,0.002241099,0.00009072815,0.00004289559,0.000036413,0.000232222,0.0004808531,0.0009813146,0.9764589,0.01806161],"study_design_scores_gemma":[0.0001011259,0.0000128726,0.00240528,0.00047817,0.00005923943,0.0000760796,0.00005459402,0.0002531987,0.001384187,0.00238701,0.9927461,0.00004224041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001920404,0.0005653666,0.0009361368,0.0001431638,0.0001152436,0.00006031086,0.9921416,0.002881686,0.00296443],"genre_scores_gemma":[0.000628964,0.0006083215,0.002896627,0.00016391,0.00003194732,0.0001931216,0.9923137,0.0007328677,0.00243061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1199548,"threshold_uncertainty_score":0.4012887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360902582925415,"score_gpt":0.3894975951540058,"score_spread":0.3758885693247517,"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."}}