{"id":"W4239961128","doi":"10.1515/iupac.85.0399","title":"Cycloidal Mass Spectrometer","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; Linguistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00182932,0.001678123,0.001480077,0.004350436,0.001199413,0.003350941,0.003039225,0.001333136,0.07320078],"category_scores_gemma":[0.007078724,0.0005071324,0.001167057,0.008285213,0.000397941,0.002703982,0.002252093,0.00180459,0.172706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513271,"about_ca_system_score_gemma":0.002984582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219373,"about_ca_topic_score_gemma":0.01714996,"domain_scores_codex":[0.9977678,0.0002790069,0.0002736882,0.0006298699,0.0008408639,0.0002088816],"domain_scores_gemma":[0.9970776,0.0004571542,0.0003410169,0.0006909021,0.001302326,0.0001310536],"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":[0.0001255426,0.00001730956,0.001039602,0.0007178571,0.00004619843,0.00002362963,0.00002307641,0.0001764535,0.0003831922,0.001091412,0.98646,0.009895745],"study_design_scores_gemma":[0.0000688441,0.00001076331,0.002649644,0.0002016008,0.00002484405,0.0000531816,0.00004234119,0.0002464866,0.0007461228,0.002072424,0.99386,0.00002377428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002113705,0.0002357368,0.0005009734,0.0001215345,0.00005267212,0.00003144389,0.9942631,0.00139845,0.003184717],"genre_scores_gemma":[0.000649885,0.0003768378,0.001466666,0.000148256,0.00002285049,0.0001100221,0.9947278,0.0002801951,0.00221751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07320078,"threshold_uncertainty_score":0.244881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023468243903366,"score_gpt":0.3680165340290489,"score_spread":0.3577818515900153,"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."}}