{"id":"W4251681310","doi":"10.1515/iupac.85.0303","title":"Abundance Sensitivity","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); 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":[0.001486591,0.001856357,0.001489424,0.004589319,0.000971666,0.00417053,0.002440144,0.001333278,0.09132656],"category_scores_gemma":[0.01177763,0.0005206607,0.001953146,0.006306103,0.0003749216,0.003251652,0.00231903,0.001804325,0.1401785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592416,"about_ca_system_score_gemma":0.002096276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01590854,"about_ca_topic_score_gemma":0.02295624,"domain_scores_codex":[0.9973931,0.0002988553,0.0003295246,0.0009405611,0.0008069192,0.0002310282],"domain_scores_gemma":[0.9966371,0.0007393578,0.0003351297,0.0008903486,0.001246259,0.0001517242],"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":[0.0001189972,0.00002640645,0.00404461,0.001018561,0.0000876351,0.00003259275,0.00003679889,0.000462791,0.0002753639,0.001745677,0.9729341,0.01921641],"study_design_scores_gemma":[0.00005879865,0.00001200477,0.005695712,0.0003308009,0.00004194562,0.00008798904,0.00008992989,0.0005823313,0.0005691029,0.003572904,0.9889225,0.00003606403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004212557,0.0003912839,0.0005280434,0.0001713333,0.0001104795,0.00002940462,0.993282,0.001179314,0.003886787],"genre_scores_gemma":[0.001448899,0.0003032799,0.001359605,0.0001438012,0.00002956387,0.00008921421,0.9935184,0.0002392707,0.002867951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09132656,"threshold_uncertainty_score":0.3055178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111599823669504,"score_gpt":0.3801792097322583,"score_spread":0.3690632114955633,"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."}}