{"id":"W4414426382","doi":"10.1021/acs.orglett.5c03034","title":"Make it Double: [4]Cumulene Thermal Core Transformation and Chemical Reduction","year":2025,"lang":"en","type":"article","venue":"Organic Letters","topic":"Advanced Chemical Physics Studies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Canada Foundation for Innovation; National Science Foundation","keywords":"Dimer; Cumulene; Transformation (genetics); Reduction (mathematics); Core (optical fiber); Diffraction; Molecule; Thermal","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":[0.000104807,0.0004835106,0.0002156097,0.000271182,0.0001864436,0.0002264264,0.0003467592,0.0002328748,0.006356405],"category_scores_gemma":[0.0001987616,0.0001998228,0.0001841252,0.0001791757,0.0001762986,0.0003675154,0.000258874,0.0007518238,0.0019476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471391,"about_ca_system_score_gemma":0.0002343306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000747225,"about_ca_topic_score_gemma":0.00181166,"domain_scores_codex":[0.999899,0.000004606026,0.000004688691,0.00003589705,0.00002622304,0.00002964147],"domain_scores_gemma":[0.9999251,0.000007640512,0.00001577513,0.00001960232,0.00001491953,0.00001694139],"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":[0.00003633539,0.00001587954,0.00003801004,0.00003082542,0.000004982254,0.00004225898,0.00001883106,0.00009656762,0.9970698,0.0003463654,0.0002086581,0.002091367],"study_design_scores_gemma":[0.000007384039,0.00007988692,0.0004485676,0.000002375422,0.000004063254,0.00006156815,0.000008470721,0.0003698209,0.9922341,0.00006380241,0.006713868,0.000006173833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649026,0.0005265629,0.01447606,0.0002200329,0.0001970764,0.0002166592,0.001065605,0.001201755,0.01719361],"genre_scores_gemma":[0.9577201,0.0007353511,0.01604615,0.0001602414,0.0000362713,0.0001257325,0.002308754,0.0006884626,0.02217895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006356405,"threshold_uncertainty_score":0.02126431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0092915599859103,"score_gpt":0.2395911567802864,"score_spread":0.2302995967943761,"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."}}