{"id":"W4248399062","doi":"10.1515/iupac.68.0189","title":"Transient Species","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glossary; Terminology; Field (mathematics); Computer science; Transient (computer programming); Linguistics; Library science; Philosophy; Mathematics; Programming language","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":[0.0007162406,0.003069202,0.001817722,0.00433382,0.001073758,0.002951267,0.003434888,0.002149856,0.06354857],"category_scores_gemma":[0.003762287,0.0008389717,0.002339909,0.005902823,0.0004255729,0.002727323,0.002182543,0.002457031,0.1168243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493687,"about_ca_system_score_gemma":0.001877586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315097,"about_ca_topic_score_gemma":0.02747453,"domain_scores_codex":[0.9990393,0.00009800561,0.0001449895,0.0003715449,0.0002201109,0.0001261166],"domain_scores_gemma":[0.9987435,0.000280888,0.0001651383,0.0004373387,0.0002622795,0.0001108673],"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":[0.0001340048,0.00003528323,0.001300697,0.001708323,0.00006553084,0.00004809208,0.00002728729,0.0006438061,0.0005489141,0.00108027,0.987808,0.00659974],"study_design_scores_gemma":[0.0001591077,0.00003061416,0.00372977,0.0004795436,0.00005961369,0.0001539871,0.00005641071,0.0009026566,0.0009250041,0.003248455,0.9902052,0.00004970566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002099484,0.0002688322,0.0002383046,0.00004451248,0.00005199239,0.00001764442,0.9972097,0.0009525391,0.001006415],"genre_scores_gemma":[0.0003153732,0.0001468214,0.0004108676,0.00005511441,0.000007833551,0.00005326616,0.9984055,0.00009158169,0.000513616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06354857,"threshold_uncertainty_score":0.2125911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426448626551713,"score_gpt":0.3513678687295046,"score_spread":0.3371033824639875,"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."}}