{"id":"W2808310004","doi":"10.1021/acs.orglett.8b01391","title":"Iron-Catalyzed Nucleophilic Addition Reaction of Organic Carbanion Equivalents via Hydrazones","year":2018,"lang":"en","type":"article","venue":"Organic Letters","topic":"Catalytic C–H Functionalization Methods","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds de recherche du Québec – Nature et technologies; China Scholarship Council; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Chemistry; Carbanion; Nucleophile; Equivalent; Nucleophilic addition; Catalysis; Organic chemistry; Reaction conditions; Combinatorial chemistry; Medicinal chemistry; Biochemistry","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":[0.000247597,0.0002491558,0.0002759906,0.0001356634,0.0001427837,0.00002567547,0.000263521,0.0001724554,0.01501678],"category_scores_gemma":[0.0002595214,0.0002750061,0.0001104826,0.0004839039,0.0002009718,0.0002762694,0.0001060472,0.0001781435,0.0005899735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792776,"about_ca_system_score_gemma":0.00006456338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006027392,"about_ca_topic_score_gemma":0.00002908181,"domain_scores_codex":[0.9981896,0.00005000472,0.0004977615,0.0004777891,0.0004868956,0.00029801],"domain_scores_gemma":[0.9985702,0.0001213201,0.0003693152,0.0006711938,0.0001662304,0.0001017337],"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":[0.00006135501,0.00007744436,0.0005444589,0.0000981813,0.00004653887,0.000002472246,0.0002468071,0.000001259321,0.9942645,0.00002904551,0.003660238,0.0009677379],"study_design_scores_gemma":[0.0008805851,0.00002660115,0.002935074,0.00006126398,0.0001214538,0.00006470056,0.00007646488,0.0001349379,0.9925702,0.000136664,0.002690954,0.0003010551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987485,0.00002368138,0.009552114,0.001013909,0.0007466473,0.0001089644,0.00004041767,0.000200912,0.0008283787],"genre_scores_gemma":[0.996885,0.00001364553,0.0004959221,0.0004840771,0.00109006,0.00001050815,0.0006062507,0.00008950008,0.000325044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01442681,"threshold_uncertainty_score":0.9999702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461043135309563,"score_gpt":0.246955541933634,"score_spread":0.2323451105805383,"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."}}