{"id":"W2911560284","doi":"10.1016/j.chempr.2019.01.005","title":"Direct Catalytic Methanol-to-Ethanol Photo-conversion via Methyl Carbene","year":2019,"lang":"en","type":"article","venue":"Chem","topic":"Catalytic Cross-Coupling Reactions","field":"Chemistry","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Carbene; Methanol; Catalysis; Ethanol; Chemistry; Alcohol; Green chemistry; Methylene; Organic chemistry; Combinatorial chemistry; Materials science; Nanotechnology; Reaction mechanism","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001499729,0.0005066398,0.00019539,0.0002688994,0.0002226752,0.0002364984,0.000633445,0.0003967958,0.003704936],"category_scores_gemma":[0.0001667113,0.0001905468,0.000178952,0.0002157194,0.0002325416,0.0005176666,0.0005249447,0.0008036791,0.0007617453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005343973,"about_ca_system_score_gemma":0.0002619984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241409,"about_ca_topic_score_gemma":0.002575262,"domain_scores_codex":[0.999893,0.000007761967,0.000004054064,0.00002600477,0.00002664615,0.00004249515],"domain_scores_gemma":[0.9999675,0.000006790134,0.000006717635,0.000005642925,0.000005215947,0.000008222146],"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":[0.0002115665,0.0001264045,0.0002308993,0.0004374133,0.00004095076,0.0004631274,0.0001316037,0.0006342822,0.9684309,0.008211902,0.001386606,0.01969425],"study_design_scores_gemma":[0.00001869249,0.00009514519,0.0005365718,0.00001021199,0.00001273701,0.0001561084,0.00002290208,0.0008095528,0.9927552,0.0002633568,0.005310266,0.000009155719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828869,0.007394542,0.0342938,0.001057951,0.0003786268,0.0002222216,0.0004942407,0.0006733661,0.07259841],"genre_scores_gemma":[0.9931306,0.0008843992,0.001582687,0.00005358947,0.00001148709,0.00002032838,0.00006050187,0.0000193588,0.004237047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003704936,"threshold_uncertainty_score":0.01239425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015872617928693,"score_gpt":0.2504517223048821,"score_spread":0.2402929961255952,"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."}}