{"id":"W4390456209","doi":"10.1016/j.fuel.2023.130756","title":"Influence of organic ligand and nickel loading on the performance of MOF-derived catalysts for dry reforming of methane","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Natural Resources Limited","keywords":"Catalysis; Coke; Methane; Nickel; Carbon dioxide reforming; Trimesic acid; Chemical engineering; Ligand (biochemistry); Metal-organic framework; Materials science; Inorganic chemistry; Chemistry; Syngas; Organic chemistry; Metallurgy; Adsorption; Molecule","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002508154,0.0002764508,0.0002502414,0.0002088841,0.0002031924,0.0005520331,0.0003791286,0.0003791835,0.001754753],"category_scores_gemma":[0.0008062568,0.0001591513,0.0001207909,0.0002109375,0.0002443299,0.0003181967,0.0001909781,0.0002629418,0.0003400208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003106404,"about_ca_system_score_gemma":0.0002334893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002443571,"about_ca_topic_score_gemma":0.004603866,"domain_scores_codex":[0.9998099,0.00003186132,0.00002221828,0.00003529654,0.00004787222,0.00005280619],"domain_scores_gemma":[0.9997759,0.0001066949,0.0000339842,0.00001591298,0.00004407288,0.00002344667],"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":[0.002640167,0.000122829,0.0009015365,0.0002194485,0.00003656366,0.0001619161,0.0001082718,0.0005989082,0.9893378,0.0001517869,0.0001996804,0.005521085],"study_design_scores_gemma":[0.00001788928,0.0002458868,0.001439309,0.000007045463,0.00002281505,0.00002976747,0.00004270599,0.0009421468,0.9965519,0.000009378129,0.0006827958,0.000008331294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983193,0.0004273575,0.0001217251,0.00003105466,0.00001228588,0.000004264683,0.0001150969,0.00001713416,0.0009516907],"genre_scores_gemma":[0.9990877,0.000205877,0.0001472083,0.00001034169,0.0000050605,0.000003052022,0.00009699458,0.000008305803,0.0004355706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002443571,"threshold_uncertainty_score":0.005870283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793760778314117,"score_gpt":0.2600213447381113,"score_spread":0.2420837369549702,"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."}}