{"id":"W7074165996","doi":"","title":"Comment on “Methanol dimer formation drastically enhances hydrogen abstraction from methanol by OH at low temperature” by W. Siebrand, Z. Smedarchina, E. Martínez-Núñez and A. Fernández-Ramos, Phys. Chem. Chem. Phys., 2016, 18, 22712","year":2018,"lang":"en","type":"article","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methanol; Dimer; Hydrogen atom abstraction; Hydrogen; Kinetics; Reagent; Reaction mechanism; Chemical kinetics; Substrate (aquarium)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004533273,0.0003373267,0.0005893369,0.0003777854,0.0007621447,0.00001401056,0.001252979,0.0004605792,0.0007024102],"category_scores_gemma":[0.0001127003,0.0003928875,0.0002150729,0.000641939,0.00185244,0.0005995802,0.0009611489,0.001109648,0.00003788736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861415,"about_ca_system_score_gemma":0.00007344074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001696222,"about_ca_topic_score_gemma":0.0003274805,"domain_scores_codex":[0.9977414,0.000200827,0.0002242742,0.0005651098,0.0007269836,0.0005414208],"domain_scores_gemma":[0.9976445,0.0006852286,0.0003319647,0.000658138,0.0004602348,0.0002198766],"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":[0.001910842,0.0008216123,0.00009466353,0.0002701207,0.0005517793,0.00001793769,0.005420478,0.001545845,0.9512338,0.0002281434,0.03092775,0.006977013],"study_design_scores_gemma":[0.00879471,0.001767974,0.001513307,0.001150968,0.0005445379,0.00001029171,0.07362483,0.02943718,0.8075197,0.0005708578,0.07364265,0.001423013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694629,0.0003307463,0.01991904,0.006965921,0.00006365867,0.0005746599,0.0008265968,0.0002026847,0.001653794],"genre_scores_gemma":[0.9913233,0.00137276,0.003947445,0.00003944126,0.00003800151,7.401235e-8,0.0003142089,0.00002429903,0.002940478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1437141,"threshold_uncertainty_score":0.9998523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816168097843021,"score_gpt":0.2437582388013621,"score_spread":0.2255965578229319,"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."}}