{"id":"W4365142288","doi":"10.1515/iupac.94.0451","title":"Electrophilic Substitution","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; Abandonment (legal); Substitution (logic); Meaning (existential); Field (mathematics); Electrophilic substitution; Chemistry; Computer science; Epistemology; Linguistics; Philosophy; Mathematics; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000389643,0.0005488681,0.0006199096,0.0001584288,0.000196083,0.000129865,0.0009568626,0.0008617969,0.004262972],"category_scores_gemma":[0.001604552,0.0005579215,0.0002490984,0.0004175676,0.0002045745,0.0000651141,0.0003276875,0.001850133,0.00006837834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397655,"about_ca_system_score_gemma":0.001843723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003213844,"about_ca_topic_score_gemma":0.0008969108,"domain_scores_codex":[0.9958107,0.00002919524,0.0005223485,0.0007832362,0.001957451,0.000897083],"domain_scores_gemma":[0.9974357,0.0001043857,0.0002208016,0.001443747,0.000498163,0.0002972332],"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":[0.0000861083,0.0001629027,0.000006327986,0.0009890036,0.0001603676,0.0004086988,0.000003234484,0.000006940525,0.002005316,0.000008855463,0.9956996,0.0004626691],"study_design_scores_gemma":[0.000585581,0.00004199472,0.000003498882,0.0002604177,0.00009774834,0.0000459438,0.000009957866,0.00003206485,0.003293475,0.0001956455,0.9949206,0.000513131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009511402,0.0004718945,0.000009003009,0.0003337489,0.0002531678,0.0001111377,0.9972152,0.0003796545,0.0002750727],"genre_scores_gemma":[0.00003188856,0.001840712,0.00001442657,0.00004492093,0.001958634,0.00003781707,0.9908888,0.00008599214,0.005096788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006326359,"threshold_uncertainty_score":0.9996873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131650917879705,"score_gpt":0.4101551176832579,"score_spread":0.3888386085044608,"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."}}