{"id":"W2504647545","doi":"10.1002/ajoc.201600246","title":"Enol and Ynol Surrogates: Promising Substrates for Hypervalent Iodine Chemistry","year":2016,"lang":"en","type":"article","venue":"Asian Journal of Organic Chemistry","topic":"Oxidative Organic Chemistry Reactions","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Centre in Green Chemistry and Catalysis; Université de Sherbrooke","keywords":"Hypervalent molecule; Enol; Chemistry; Context (archaeology); Tautomer; Reactivity (psychology); Iodine; Reagent; Ketone; Organic chemistry; Combinatorial chemistry; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002969785,0.0004660601,0.0005949117,0.00002621496,0.0001697174,0.00009170901,0.0005250229,0.0003460701,0.007865427],"category_scores_gemma":[0.0009377601,0.0003693045,0.0002601491,0.0001647946,0.0002737665,0.0002232434,0.0001060575,0.0004384658,0.00001164598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003811874,"about_ca_system_score_gemma":0.0004122802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.75743e-7,"about_ca_topic_score_gemma":8.347277e-7,"domain_scores_codex":[0.9976273,0.00001042648,0.0009360285,0.0004983717,0.000383223,0.0005447153],"domain_scores_gemma":[0.9974167,0.0002764028,0.0008833313,0.0005116101,0.0004517042,0.0004602477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001108122,0.0001583475,0.001996092,0.0006364382,0.0002504231,0.00003466744,0.0001182259,1.330462e-7,0.9921195,0.000002153394,0.0003475337,0.004225698],"study_design_scores_gemma":[0.003086178,0.00002864715,0.00009565689,0.0006717502,0.0001953029,0.002387862,0.001220493,0.000004915696,0.9877241,0.0001690425,0.003977005,0.0004390305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902943,0.000663729,0.0002158879,0.002812359,0.00007990759,0.00009129697,0.0001096516,0.00007960865,0.005653244],"genre_scores_gemma":[0.9936293,0.0001383229,0.0006935265,0.00001209302,0.0009035943,0.00001060093,0.00001546293,0.0001057121,0.004491371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007853781,"threshold_uncertainty_score":0.9998759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305643138092763,"score_gpt":0.2285602205648231,"score_spread":0.2155037891838955,"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."}}