{"id":"W2045797844","doi":"10.1016/j.apcata.2010.12.024","title":"Toluene hydrogenation at low temperature using a molybdenum carbide catalyst","year":2010,"lang":"en","type":"article","venue":"Applied Catalysis A General","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":152,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Catalysis; Toluene; Molybdenum; Carbide; Materials science; Raman spectroscopy; Carbon fibers; Inorganic chemistry; Chemical engineering; Nuclear chemistry; Chemistry; Metallurgy; Organic chemistry; Composite material","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":[0.0001131654,0.0002540248,0.0002684936,0.0001715645,0.0002575672,0.0003393335,0.000356893,0.0002724825,0.001070359],"category_scores_gemma":[0.0001424342,0.0001177611,0.0001143435,0.000234214,0.0002535752,0.0003136099,0.0002107781,0.0002769473,0.0002780225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000737157,"about_ca_system_score_gemma":0.0004158845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005891873,"about_ca_topic_score_gemma":0.01016844,"domain_scores_codex":[0.9999032,0.00001023449,0.00000518988,0.00001056351,0.00002921339,0.00004151059],"domain_scores_gemma":[0.9999739,0.000006142856,0.000004657444,0.000003676206,0.000004792866,0.000006864291],"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":[0.0004172691,0.00006059288,0.0006093727,0.000167415,0.00002439327,0.0002501699,0.0001198554,0.0005962964,0.9904171,0.0009800944,0.000471672,0.005885779],"study_design_scores_gemma":[0.00002615827,0.0001895897,0.001192622,0.000004994527,0.00001199039,0.00007227249,0.00004045665,0.001569193,0.9953121,0.00006662201,0.001504746,0.000009313926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947226,0.0006908319,0.0008386634,0.00008356056,0.00002543498,0.000007838893,0.00006742333,0.00004478078,0.003519041],"genre_scores_gemma":[0.9983753,0.000258119,0.0002092246,0.000006764566,0.000004499323,0.000002101194,0.00005201579,0.00000711915,0.001084875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005891873,"threshold_uncertainty_score":0.01171511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005795212144970045,"score_gpt":0.2017659734141205,"score_spread":0.1959707612691504,"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."}}