{"id":"W4365147684","doi":"10.1515/iupac.94.0848","title":"Stereoisomers","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003987943,0.0006059458,0.0007306079,0.0001622799,0.0001473082,0.0001534992,0.00124176,0.0008520996,0.009182476],"category_scores_gemma":[0.00132747,0.0006075031,0.0002870547,0.0003382438,0.0002014286,0.00006091687,0.0006323195,0.001825235,0.00008583428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009173709,"about_ca_system_score_gemma":0.001366015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005168601,"about_ca_topic_score_gemma":0.001102115,"domain_scores_codex":[0.9954689,0.00002834685,0.0005768362,0.000819409,0.002206935,0.0008995534],"domain_scores_gemma":[0.9970245,0.0001643602,0.0002471156,0.001739242,0.0004336403,0.0003910775],"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":[0.00007000039,0.0001552677,0.00001001788,0.00149438,0.0002436637,0.0004981933,0.000008323149,0.000003151866,0.0002929744,0.0000010148,0.9960356,0.001187454],"study_design_scores_gemma":[0.0007085948,0.00003371588,0.000002490398,0.0003703597,0.00009500812,0.00002440111,0.00007626115,0.00001533678,0.0007254487,0.00006863445,0.997301,0.0005787467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002631124,0.0002831514,0.000002636881,0.0004269998,0.0003649215,0.0001002778,0.9975042,0.000343251,0.0007114753],"genre_scores_gemma":[0.000003877978,0.001060666,0.00002164565,0.00008087353,0.001574678,0.00003208618,0.9808527,0.0001215207,0.01625196],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01665148,"threshold_uncertainty_score":0.9996376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611674414077608,"score_gpt":0.4285322083957585,"score_spread":0.4024154642549824,"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."}}