{"id":"W4365147853","doi":"10.1515/iupac.94.0469","title":"Epimer","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; Philosophy; Linguistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004379786,0.0005789248,0.0007089795,0.0001306428,0.0001494027,0.0001301661,0.001171157,0.0009013484,0.01389306],"category_scores_gemma":[0.001795504,0.0005728363,0.0002843011,0.0003136437,0.000192243,0.00005216231,0.0006194988,0.001865768,0.000127032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007553551,"about_ca_system_score_gemma":0.001388171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005145377,"about_ca_topic_score_gemma":0.0007846862,"domain_scores_codex":[0.9956163,0.00002742411,0.0005530334,0.0008017737,0.002135517,0.000865967],"domain_scores_gemma":[0.9969779,0.0001745056,0.0002224577,0.00177281,0.0004863502,0.0003659973],"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":[0.00005397002,0.0001702284,0.000008099736,0.001116275,0.0002284494,0.00052791,0.000005464844,0.000002891239,0.0004423738,0.000001540812,0.9965654,0.0008773928],"study_design_scores_gemma":[0.0005802507,0.00002560792,0.000002386241,0.0003224554,0.0001020972,0.00002720007,0.00003006003,0.00001541588,0.001596148,0.0001171006,0.9966283,0.0005529419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001047287,0.0003649552,0.000004423966,0.0005285531,0.0003280324,0.00009037476,0.9973438,0.0003380187,0.0008970571],"genre_scores_gemma":[0.000002110843,0.0009747196,0.00003163245,0.00008173181,0.002010566,0.00003319587,0.9756792,0.0001183882,0.02106842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02166462,"threshold_uncertainty_score":0.9996723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706962405461458,"score_gpt":0.4392034305855917,"score_spread":0.4121338065309771,"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."}}