{"id":"W4311532608","doi":"10.1002/cjce.24807","title":"Comprehensive kinetic study for <scp>Fischer</scp> – <scp>Tropsch</scp> reaction over <scp>KMoFe</scp> / <scp>CNTs</scp> nano‐structured catalyst","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Fischer–Tropsch process; Catalysis; X-ray photoelectron spectroscopy; Adsorption; Syngas; Chemistry; Activation energy; XANES; Space velocity; Carbon nanotube; Extended X-ray absorption fine structure; Chemical engineering; Carbon monoxide; Materials science; Physical chemistry; Absorption spectroscopy; Spectroscopy; Nanotechnology; Selectivity; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002487324,0.0003600063,0.0003348457,0.0002307143,0.0002405816,0.000210243,0.0002625613,0.0003097591,0.000753499],"category_scores_gemma":[0.0003197939,0.0001377702,0.00026618,0.0002362016,0.0001443644,0.0002758958,0.0001146786,0.0003162146,0.000267743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003914704,"about_ca_system_score_gemma":0.0001646943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002506468,"about_ca_topic_score_gemma":0.003924892,"domain_scores_codex":[0.9998363,0.00001650996,0.00001070359,0.00004294709,0.00006021632,0.00003328189],"domain_scores_gemma":[0.9999051,0.00002811585,0.00001729158,0.00001032058,0.0000301014,0.000009004483],"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":[0.00009012308,0.00002003831,0.0005838032,0.0001186939,0.00001496721,0.0001236056,0.00004116576,0.0007758174,0.9950216,0.00009136474,0.0000686939,0.003050122],"study_design_scores_gemma":[0.000003563783,0.0001137136,0.002692039,0.000006324259,0.0000113536,0.00006473385,0.00002393246,0.004009823,0.9924482,0.0000197377,0.000599658,0.000006926312],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968473,0.000529847,0.001443267,0.00002832719,0.000006549399,0.0000191138,0.0002385938,0.00004221186,0.0008447885],"genre_scores_gemma":[0.9983734,0.0002227698,0.0007997481,0.000004332361,0.00000157814,0.00001022146,0.000119628,0.000008979071,0.0004592692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002506468,"threshold_uncertainty_score":0.004983783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203097869368693,"score_gpt":0.219093493783299,"score_spread":0.207062515089612,"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."}}