{"id":"W1985021226","doi":"10.1002/cjce.21760","title":"Dehydration of methanol to dimethyl ether over γ‐Al<sub>2</sub>O<sub>3</sub> catalyst: Intrinsic kinetics and effectiveness factor","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Key Technologies Research and Development Program","keywords":"Dimethyl ether; Methanol; Catalysis; Diffusion; Activation energy; Isothermal process; Dehydration; Chemistry; Space velocity; Thermodynamics; Chemical kinetics; Adsorption; Kinetics; Physical chemistry; Materials science; Analytical Chemistry (journal); Chromatography; Organic chemistry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001802688,0.0002554948,0.0003060233,0.0002192802,0.0001259662,0.0002271973,0.0002134029,0.000225226,0.0006123964],"category_scores_gemma":[0.0003295788,0.0001665463,0.0002788699,0.0002088397,0.0001826564,0.0002686224,0.0001301384,0.0002314652,0.0001767195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151546,"about_ca_system_score_gemma":0.0001522517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961677,"about_ca_topic_score_gemma":0.003802931,"domain_scores_codex":[0.9998891,0.000009473175,0.000008111138,0.00002428336,0.00004288657,0.00002604985],"domain_scores_gemma":[0.9999189,0.00002562245,0.00001812594,0.000007862262,0.00002114898,0.000008368129],"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":[0.0001458673,0.000009777942,0.0006520861,0.00006308483,0.000007741837,0.00004170349,0.00002157328,0.0007953316,0.9963445,0.00004380686,0.00002297108,0.001851564],"study_design_scores_gemma":[0.000004085997,0.00006999784,0.002305984,0.000001254338,0.000008179437,0.00002494103,0.00001851023,0.002656776,0.9946443,0.000009072221,0.0002540729,0.000002925159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975517,0.0003020621,0.00126629,0.00001771919,0.00000509593,0.00001173515,0.0001312433,0.00002919181,0.0006849059],"genre_scores_gemma":[0.9989201,0.0001430184,0.0004970617,0.000003369429,9.816723e-7,0.000003943543,0.00007133657,0.000007272867,0.0003529373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001961677,"threshold_uncertainty_score":0.003900468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00642282636986744,"score_gpt":0.1991661165966107,"score_spread":0.1927432902267433,"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."}}