{"id":"W2969827462","doi":"10.1021/acs.orglett.9b02797","title":"Diastereoselective Nickel-Catalyzed Carboiodination Generating Six-Membered Nitrogen-Based Heterocycles","year":2019,"lang":"en","type":"article","venue":"Organic Letters","topic":"Catalytic C–H Functionalization Methods","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Kennarshore; University of Toronto; Alphora Research","keywords":"Chemistry; Catalysis; Nickel; Combinatorial chemistry; Selectivity; Nitrogen; Metal; Organic chemistry","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":[0.000232915,0.0002909593,0.000289249,0.0001225397,0.0001295736,0.0001020215,0.0002481642,0.0001381982,0.005621426],"category_scores_gemma":[0.0002525297,0.0003172382,0.0001391439,0.0003410022,0.00005189051,0.0001848413,0.000066833,0.0002336359,0.0004480152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004943314,"about_ca_system_score_gemma":0.0001183638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004814456,"about_ca_topic_score_gemma":0.00002409668,"domain_scores_codex":[0.9981122,0.00007454319,0.000438104,0.0005778838,0.000431097,0.0003661458],"domain_scores_gemma":[0.9986646,0.0003057972,0.0002657526,0.0005454909,0.00011546,0.0001029334],"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":[0.00003339003,0.00004210354,0.01280724,0.0000719579,0.00008459333,0.000004057033,0.0001683043,0.0005149479,0.9850335,0.00002573089,0.000639869,0.0005743416],"study_design_scores_gemma":[0.001610469,0.00001014522,0.0004315244,0.00003572964,0.00006297893,0.00001684626,0.0001050914,0.009918468,0.9867601,0.00003028065,0.0006172586,0.0004010588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986978,0.00004467796,0.01081664,0.0007880177,0.0003493136,0.0001682049,0.00002855997,0.0002116499,0.0006149426],"genre_scores_gemma":[0.9937444,0.000001418771,0.003252123,0.001712856,0.0003431562,0.00003368618,0.0005124098,0.00009038152,0.0003095202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237571,"threshold_uncertainty_score":0.999928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123908597958109,"score_gpt":0.2377023241473819,"score_spread":0.225311464351571,"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."}}