{"id":"W1574217514","doi":"10.1002/1521-3773(20020301)41:5<804::aid-anie804>3.0.co;2-6","title":"A Method for Thermal Generation of Aryloxyl Radicals at Ambient Temperatures: Application to Low-Density Lipoprotein (LDL) Oxidation This work was partly supported by the National Foundation for Cancer Research. We wish to thank M. C. Depew and J. K. S. Wan (Queen's University, Kingston, Canada) for their help in recording ESR spectra and D. Leek for the NMR measurements.","year":2002,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Electron Spin Resonance Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Radical; Chemistry; Decomposition; Thermal decomposition; Arrhenius equation; Photochemistry; Inorganic chemistry; Organic chemistry; Activation energy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008683714,0.0001282789,0.0001272037,0.00006608791,0.0003441112,0.00003906183,0.0001466732,0.00007783112,0.000007364746],"category_scores_gemma":[0.0003523807,0.0001049441,0.00004980685,0.0001250129,0.00005502101,0.00002641183,0.00005598343,0.00006773387,8.659367e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003489716,"about_ca_system_score_gemma":0.00009788755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472936,"about_ca_topic_score_gemma":0.03709606,"domain_scores_codex":[0.998836,0.0000450599,0.0002099537,0.0003693762,0.0003369267,0.0002026496],"domain_scores_gemma":[0.9986717,0.0002387141,0.0001400652,0.00009538467,0.0008104233,0.00004374696],"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":[0.0005044871,0.00003412308,0.0001567603,0.000034353,0.00009917256,4.366567e-8,0.0002442505,0.0001078478,0.9243305,0.000109636,0.06784437,0.006534411],"study_design_scores_gemma":[0.0007565169,0.0001496809,0.0006722836,0.00004839362,0.00002015192,9.167222e-7,0.0001800092,0.001119356,0.9456841,0.0001859737,0.05106751,0.0001151548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297809,0.0006498192,0.2138345,0.04907081,0.0002785386,0.005498443,0.0008318963,0.00001145524,0.00004364046],"genre_scores_gemma":[0.9932876,0.0003919232,0.002658452,0.000553624,0.0007817892,0.001037678,0.0009256632,0.00001883062,0.0003443937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2635068,"threshold_uncertainty_score":0.9804744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04211086736632996,"score_gpt":0.3058526318948326,"score_spread":0.2637417645285027,"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."}}