{"id":"W4411183567","doi":"10.1021/acscatal.4c07535","title":"Iron(III)-Catalysis in Flow: A Sustainable Alternative to Precious-Metal-Based Lewis Acidic Superelectrophiles for Carbonyl-Olefin Metathesis","year":2025,"lang":"en","type":"article","venue":"ACS Catalysis","topic":"Asymmetric Hydrogenation and Catalysis","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; Camille and Henry Dreyfus Foundation; Alfred P. Sloan Foundation; David and Lucile Packard Foundation","keywords":"Olefin metathesis; Catalysis; Metathesis; Flow chemistry; Chemistry; Olefin fiber; Lewis acids and bases; Organic chemistry; Metal; Ruthenium; Combinatorial chemistry","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":[0.0002032934,0.0003440449,0.0002108847,0.0001890291,0.0001752519,0.0004215924,0.0004565735,0.0004649338,0.0009747294],"category_scores_gemma":[0.0001015576,0.0001777111,0.0002339484,0.00008057136,0.0003353028,0.0006437961,0.0003245188,0.0005499749,0.0003917844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136765,"about_ca_system_score_gemma":0.0002222218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003850987,"about_ca_topic_score_gemma":0.0005695614,"domain_scores_codex":[0.999928,0.000008708057,0.000003044515,0.00001650983,0.00002482285,0.00001888102],"domain_scores_gemma":[0.999974,0.000005803219,0.000007479789,0.000003066481,0.000003276831,0.000006389961],"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":[0.0001469684,0.0001071775,0.0001785186,0.0001892767,0.00001368492,0.0002032394,0.00004107278,0.00133991,0.981266,0.003157809,0.0004652741,0.01289109],"study_design_scores_gemma":[0.00004998368,0.0003286798,0.0002775718,0.00001042998,0.00001431247,0.0001337519,0.00001437548,0.008020417,0.9840472,0.0006301295,0.006458873,0.00001426997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313053,0.004120735,0.05411411,0.0005366185,0.0001963362,0.0001167152,0.0002794245,0.0006844046,0.008646319],"genre_scores_gemma":[0.984304,0.001009612,0.0117963,0.00007555453,0.00003160555,0.00002541229,0.0001150003,0.00002325593,0.00261919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009747294,"threshold_uncertainty_score":0.003260732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006709684377000325,"score_gpt":0.2438771258709732,"score_spread":0.2371674414939729,"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."}}