{"id":"W4365147221","doi":"10.1515/iupac.94.0842","title":"Stable","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); Epistemology; Computer science; Linguistics; Philosophy; Mathematics; Political science","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":[0.001274506,0.00299716,0.001558558,0.004379458,0.001709093,0.003687529,0.003629561,0.002248661,0.1650123],"category_scores_gemma":[0.007453979,0.0007582472,0.00193237,0.005560662,0.0005768242,0.003298755,0.003131994,0.002645125,0.3565063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702533,"about_ca_system_score_gemma":0.002313022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02542356,"about_ca_topic_score_gemma":0.05973221,"domain_scores_codex":[0.9982342,0.0002940895,0.0001995085,0.0006460323,0.0003914238,0.0002347866],"domain_scores_gemma":[0.9971709,0.000559947,0.0002126792,0.001036716,0.000795184,0.0002246546],"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":[0.00004394717,0.00001583837,0.0003429294,0.0002774852,0.00001567267,0.00001257748,0.00001452671,0.0001007029,0.00008226433,0.0004564062,0.9958497,0.002787982],"study_design_scores_gemma":[0.0001139189,0.00001856415,0.002096434,0.0002434981,0.00001898849,0.00007159317,0.00007161298,0.0004238549,0.0002934083,0.002116951,0.9945002,0.00003101083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001230285,0.00008941288,0.0001547688,0.00008285743,0.00005012873,0.00001684465,0.9967369,0.001023855,0.00172218],"genre_scores_gemma":[0.0001600082,0.00003608362,0.000263426,0.00005889661,0.000007410706,0.00004104206,0.998482,0.0001099804,0.0008411657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1650123,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613006205975006,"score_gpt":0.4226428443177328,"score_spread":0.3965127822579828,"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."}}