{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003877088,0.0005759432,0.0006997465,0.000141458,0.0001470462,0.0001390885,0.00117473,0.0008922025,0.01387125],"category_scores_gemma":[0.001612911,0.0005692486,0.0002791764,0.0003339753,0.0001865887,0.00005489372,0.0006231523,0.00185578,0.0001267562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007706687,"about_ca_system_score_gemma":0.001347523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005024337,"about_ca_topic_score_gemma":0.0008773616,"domain_scores_codex":[0.9956186,0.00002438595,0.0005436228,0.0007923801,0.00216085,0.0008601929],"domain_scores_gemma":[0.9970443,0.000155398,0.0002167076,0.001745745,0.000481529,0.0003563297],"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":[0.00005433317,0.0001720665,0.000009403149,0.001262339,0.0002090005,0.0004769878,0.000006050918,0.000002718015,0.0003984726,0.000001138294,0.9967145,0.0006930207],"study_design_scores_gemma":[0.0006151643,0.00002611197,0.000002545435,0.0003189421,0.00008887998,0.00002532863,0.00003780414,0.00001317258,0.0009721628,0.0001080748,0.9972394,0.0005524454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001414881,0.0003613748,0.000003001428,0.0005332288,0.0003359418,0.00008847564,0.9973688,0.0003386809,0.0008290173],"genre_scores_gemma":[0.000002472463,0.001127959,0.00002332088,0.00008966426,0.002053474,0.00003361671,0.9733503,0.000117911,0.02320122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02401843,"threshold_uncertainty_score":0.9996759,"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."}}