{"id":"W4365142237","doi":"10.1515/iupac.94.0843","title":"Stationary State","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Field (mathematics); Computer science; Epistemology; Management science; Linguistics; Mathematics; Engineering; Philosophy; Political science; Pure mathematics","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":[0.0004362843,0.0005492999,0.0006077662,0.0001561722,0.0001657839,0.0001371141,0.0009455692,0.0005060137,0.007453689],"category_scores_gemma":[0.001343971,0.0005645293,0.0002045668,0.0003240008,0.0001820826,0.00008014275,0.0005103124,0.001566903,0.00007788459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008930438,"about_ca_system_score_gemma":0.002111817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005436972,"about_ca_topic_score_gemma":0.001032115,"domain_scores_codex":[0.9954112,0.0000349831,0.0006209385,0.0007686539,0.002364049,0.0008001321],"domain_scores_gemma":[0.9971186,0.0002377316,0.0002728925,0.001353306,0.000670129,0.0003473319],"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":[0.00009978915,0.0001805188,0.000009667115,0.001373123,0.0002200743,0.0007038631,0.00001474581,0.00002624064,0.0002645757,0.000001036372,0.9956095,0.001496827],"study_design_scores_gemma":[0.0006693265,0.00003421332,0.000007039145,0.0002802862,0.00005871634,0.00002173219,0.00004971199,0.00004617745,0.0006122403,0.0004035488,0.9972802,0.0005368419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003524393,0.0002703473,0.0000107502,0.0004367007,0.0002599665,0.0001144604,0.9978862,0.000334577,0.0003345712],"genre_scores_gemma":[0.000002608333,0.001443738,0.0000528765,0.00007727059,0.0009183402,0.00004092301,0.9762768,0.0001151782,0.02107224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02160936,"threshold_uncertainty_score":0.9996806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312582688675358,"score_gpt":0.4308423143546257,"score_spread":0.4077164874678721,"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."}}