{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002371726,0.0006144895,0.000711019,0.0002545946,0.0001367717,0.00009991629,0.0009498695,0.0006539611,0.1623091],"category_scores_gemma":[0.0001492416,0.000488167,0.0003365398,0.0002628456,0.0001456957,0.00006720032,0.0002141098,0.0008513729,0.00001142717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007835603,"about_ca_system_score_gemma":0.0003273114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006792309,"about_ca_topic_score_gemma":0.00007742638,"domain_scores_codex":[0.9968541,0.00001943451,0.0005889166,0.0008138395,0.001060183,0.0006635679],"domain_scores_gemma":[0.9972885,0.00009232161,0.0003638731,0.001779493,0.0002376451,0.0002381152],"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":[0.00004056004,0.0001794748,0.00000600698,0.0001836605,0.0001063433,0.00003851107,0.000001176478,3.976439e-8,0.003556063,0.0002288295,0.9940658,0.001593553],"study_design_scores_gemma":[0.0004430037,0.00006771742,0.000002082048,0.0002055817,0.0001189525,0.0000254898,0.000006027137,0.000001891862,0.003675874,0.003912285,0.9909177,0.0006234266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005519728,0.0002341794,0.0005301473,0.0007990074,0.0001287612,0.0001589124,0.9917903,0.0003581205,0.005945397],"genre_scores_gemma":[0.00008060416,0.001259791,0.001079892,0.0001304807,0.001792703,0.00009905733,0.9914385,0.00008233969,0.004036613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1622977,"threshold_uncertainty_score":0.999757,"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."}}