{"id":"W4365149393","doi":"10.1515/iupac.94.0470","title":"Epimerization","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; Chemistry; Philosophy; Linguistics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001342156,0.002059434,0.001172261,0.003868577,0.001199903,0.003022495,0.002100432,0.001561082,0.2247688],"category_scores_gemma":[0.009103136,0.0005945776,0.001462662,0.005005931,0.0005375348,0.002655887,0.00262818,0.002015272,0.2480007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327365,"about_ca_system_score_gemma":0.00263151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01337214,"about_ca_topic_score_gemma":0.03356771,"domain_scores_codex":[0.9984963,0.0003017622,0.000215613,0.0005527289,0.0002421261,0.0001915284],"domain_scores_gemma":[0.9966875,0.001030572,0.0002300825,0.001022079,0.0008237576,0.0002061715],"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":[0.00007685507,0.00001591492,0.0004640898,0.0005858962,0.00001312604,0.0000175178,0.00002877835,0.0001124181,0.0001629825,0.0006617538,0.9928983,0.00496234],"study_design_scores_gemma":[0.00007249497,0.00001595884,0.001654346,0.0002348071,0.00001432066,0.00005870636,0.00007779191,0.0001730781,0.0002882214,0.002151698,0.9952359,0.00002269299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001466499,0.0001328825,0.0002629632,0.0001211755,0.00006908776,0.00003567216,0.9961628,0.0006905039,0.002378408],"genre_scores_gemma":[0.0004237507,0.0001183177,0.0007227367,0.0001921789,0.00001978597,0.0002120797,0.9962603,0.0001941522,0.001856712],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2247688,"threshold_uncertainty_score":0.7519264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333518808549823,"score_gpt":0.428694833913995,"score_spread":0.4053596458284968,"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."}}