{"id":"W4365149192","doi":"10.1515/iupac.94.0586","title":"Isomer","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); Computer science; Epistemology; 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":[0.0008962397,0.002441198,0.001208833,0.002904471,0.001282919,0.002923425,0.002754852,0.001828509,0.1972176],"category_scores_gemma":[0.004976023,0.0005703665,0.001570906,0.003904033,0.00039803,0.002602876,0.002466087,0.002080403,0.3510714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416645,"about_ca_system_score_gemma":0.001796749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087761,"about_ca_topic_score_gemma":0.04916783,"domain_scores_codex":[0.9986402,0.0002121831,0.0001446244,0.0005216195,0.0002955595,0.0001857365],"domain_scores_gemma":[0.9980883,0.0003511071,0.0001392823,0.0006706015,0.0005884103,0.0001622425],"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":[0.00004478391,0.0000158394,0.0004427922,0.0002582115,0.00001184621,0.00001369862,0.00001291095,0.00008705955,0.00008959922,0.0004232836,0.9946773,0.003922749],"study_design_scores_gemma":[0.00007642259,0.00001627002,0.002189941,0.0002072435,0.00001424841,0.00006758048,0.00007083326,0.0002850274,0.0002683401,0.001614524,0.9951668,0.00002283182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001632934,0.0001030722,0.0001623972,0.0001012973,0.00006164565,0.00002224119,0.9958149,0.0007556482,0.002815536],"genre_scores_gemma":[0.0002422812,0.00004992584,0.0003070261,0.000102638,0.000009301692,0.00005339294,0.9975763,0.0000948977,0.001564252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1972176,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491858579884753,"score_gpt":0.4320507360310163,"score_spread":0.4071321502321688,"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."}}