{"id":"W4248767885","doi":"10.1002/3527606645.ch6","title":"Artificial Hydrolytic Metalloenzymes","year":2005,"lang":"en","type":"other","venue":"","topic":"Chemical Synthesis and Reactions","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nucleophile; Lewis acids and bases; Chemistry; Reactivity (psychology); Hydrolysis; Stereochemistry; Combinatorial chemistry; Catalysis; Biochemistry","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":[0.0001676527,0.0005391128,0.0002533114,0.0001961276,0.0001520542,0.0008087835,0.0004731647,0.0003505413,0.01014933],"category_scores_gemma":[0.0001419688,0.0001921445,0.0002886719,0.0002309471,0.0001823372,0.0007685188,0.0003602962,0.0006732027,0.00474399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956748,"about_ca_system_score_gemma":0.0001068127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000895112,"about_ca_topic_score_gemma":0.0001848492,"domain_scores_codex":[0.9998778,0.00001213473,0.000007828943,0.00003552988,0.0000537754,0.00001291442],"domain_scores_gemma":[0.9999665,0.000006355187,0.000005530441,0.000009902782,0.000005905974,0.00000574684],"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":[0.0001282094,0.00006670176,0.000148805,0.0004267722,0.00001766474,0.0001921673,0.00006557653,0.0006595532,0.8972213,0.02361867,0.006013819,0.07144074],"study_design_scores_gemma":[0.00002176863,0.0000898168,0.0002424178,0.0000199625,0.00001253725,0.0004088813,0.00001831077,0.001271622,0.68593,0.002078608,0.3098955,0.0000105723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2925373,0.03992236,0.2466962,0.002013605,0.002959024,0.0003775181,0.002519738,0.006510216,0.4064641],"genre_scores_gemma":[0.4723516,0.02720972,0.1084053,0.0006858266,0.0003525811,0.0002480341,0.003217722,0.0007291409,0.3868001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01014933,"threshold_uncertainty_score":0.03395289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248689794805149,"score_gpt":0.2310655682950553,"score_spread":0.2185786703470038,"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."}}