{"id":"W2534687563","doi":"10.1039/c6fd00198j","title":"Structural and elemental influence from various MOFs on the performance of Fe@C catalysts for Fischer–Tropsch synthesis","year":2016,"lang":"en","type":"article","venue":"Faraday Discussions","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Catalysis; Porosity; Fischer–Tropsch process; Carbonization; Specific surface area; Chemical engineering; Particle size; Nanoparticle; Pyrolysis; Materials science; Crystallite; Carbon fibers; Particle (ecology); Thermal stability; Heteroatom; Selectivity; Chemistry; Nanotechnology; Physical chemistry; Adsorption; Organic chemistry; Metallurgy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121777,0.0001893693,0.0002373497,0.00005086241,0.0001539725,0.000009754671,0.0002721809,0.00007215481,0.00004957987],"category_scores_gemma":[0.0004083818,0.00007844866,0.00009988032,0.0001025556,0.00009479215,0.0001787514,0.0001236612,0.0001169261,0.000009872838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007450087,"about_ca_system_score_gemma":0.00002015285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00016939,"about_ca_topic_score_gemma":0.00002400104,"domain_scores_codex":[0.9989317,0.00001968367,0.0002910533,0.0002571544,0.0002215017,0.0002788983],"domain_scores_gemma":[0.9988236,0.0005430913,0.0001095968,0.0004047132,0.00002913435,0.00008985597],"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":[0.00006836548,0.00002074267,0.003408782,0.00004288782,0.00007825798,9.082748e-7,0.0003641148,0.00006497841,0.9807451,0.001000712,0.00005654019,0.01414865],"study_design_scores_gemma":[0.0004892799,0.00006008456,0.01490253,0.0003618676,0.00008836317,0.000006383184,0.0001785113,0.003198102,0.9795482,0.0001516121,0.0007534574,0.0002615744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982916,0.00005419255,0.00009507193,0.0006940934,0.00007635101,0.0002444696,0.000418218,0.00004210457,0.00008389982],"genre_scores_gemma":[0.9991545,0.00001467502,0.0002926883,0.0000219483,0.00006310788,0.00009340298,0.0000221685,0.00002847899,0.000309045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01388707,"threshold_uncertainty_score":0.3199044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108241262903442,"score_gpt":0.2301326351442655,"score_spread":0.219050222515231,"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."}}