{"id":"W4400612552","doi":"10.1016/j.enconman.2024.118749","title":"CO2 reforming of biodiesel-waste glycerol on nanostructure Ni-SiO2.MgO catalysts for syngas production: Influence of the catalyst chemical composition","year":2024,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Syngas; Catalysis; Biodiesel production; Glycerol; Biodiesel; Chemical engineering; Transesterification; Materials science; Composition (language); Waste management; Catalytic reforming; Chemistry; Organic chemistry; Engineering","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":[0.0001158002,0.000275096,0.0002506856,0.0002866256,0.0002033562,0.0003093303,0.0002569075,0.0002177796,0.001301165],"category_scores_gemma":[0.0002273005,0.0001377791,0.0001710399,0.0001662626,0.0001576254,0.0002989241,0.0001846718,0.0002276286,0.0003209907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003417789,"about_ca_system_score_gemma":0.0002276266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002741761,"about_ca_topic_score_gemma":0.007037243,"domain_scores_codex":[0.9999254,0.000006535951,0.000006327803,0.00001433366,0.00002281558,0.00002469698],"domain_scores_gemma":[0.9999554,0.00001424922,0.000007080969,0.000004640289,0.000009341747,0.00000941814],"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":[0.0007658782,0.00005652517,0.0005224218,0.0001456177,0.00001693759,0.0001105298,0.0000792385,0.0005698369,0.994323,0.0001928393,0.0001241791,0.003092907],"study_design_scores_gemma":[0.00001291256,0.0001150275,0.001192361,0.000004959436,0.000006740009,0.00001894798,0.0000369424,0.00166401,0.9964411,0.0000170714,0.0004866525,0.000003216649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978372,0.0002478745,0.0002032185,0.0000293234,0.00001602523,0.000007085566,0.00008415076,0.00002382844,0.001551238],"genre_scores_gemma":[0.9990495,0.0001135272,0.0001193593,0.000004814756,0.000002557314,0.000002088793,0.00008500551,0.000008851654,0.0006143309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002741761,"threshold_uncertainty_score":0.00545162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005578610225409335,"score_gpt":0.2074914190747754,"score_spread":0.2019128088493661,"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."}}