{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008756763,0.002137358,0.001177105,0.002928206,0.001051508,0.003101725,0.002107753,0.001736385,0.3037594],"category_scores_gemma":[0.005646699,0.0006900021,0.00129716,0.003916386,0.0003788909,0.002790984,0.002631047,0.001875555,0.435727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112267,"about_ca_system_score_gemma":0.001881691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360625,"about_ca_topic_score_gemma":0.03808292,"domain_scores_codex":[0.9991844,0.0001453879,0.00009629849,0.0002946394,0.0001539916,0.0001253341],"domain_scores_gemma":[0.9978999,0.0005608752,0.0001518748,0.0006826317,0.0005142671,0.000190399],"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":[0.0000477165,0.00001111327,0.0003440435,0.0003763972,0.00001004751,0.00001178395,0.00001635332,0.00007422233,0.00008799673,0.0003859374,0.9948334,0.003801004],"study_design_scores_gemma":[0.00006054211,0.00001268959,0.001417916,0.0001693481,0.00001136643,0.0000442445,0.00004551868,0.0001550571,0.0002104231,0.001603433,0.9962518,0.0000178358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008359725,0.00008558623,0.0001515958,0.000104578,0.00004829249,0.00001700323,0.9959967,0.0008907117,0.002621864],"genre_scores_gemma":[0.0002835474,0.0000842537,0.0004277923,0.0001769254,0.00001649567,0.00007452735,0.9963917,0.0001946952,0.002350065],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3037594,"threshold_uncertainty_score":0,"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."}}