{"id":"W2806356795","doi":"10.1038/s41598-018-27381-6","title":"Microwave Heating-Assisted Catalytic Dry Reforming of Methane to Syngas","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Syngas; Carbon dioxide reforming; Commodity chemicals; Methane; Natural gas; Renewable energy; Environmental science; Raw material; Capital cost; Greenhouse gas; Waste management; Process engineering; Chemical engineering; Catalysis; Materials science; Chemistry; Organic chemistry","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":[0.0001670042,0.0003323247,0.0002653469,0.0002970358,0.00009548135,0.0001186786,0.000287318,0.0002128918,0.001791953],"category_scores_gemma":[0.0001874473,0.0001207235,0.0001876966,0.0001995841,0.0001760465,0.0002554868,0.0002557408,0.0003652822,0.0003258055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156612,"about_ca_system_score_gemma":0.0001238854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003952544,"about_ca_topic_score_gemma":0.001308006,"domain_scores_codex":[0.9999057,0.00001315978,0.000005651409,0.00001579599,0.00002504536,0.00003470625],"domain_scores_gemma":[0.9999623,0.000009996736,0.00001182259,0.000005871423,0.00000508732,0.0000049113],"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":[0.0001434164,0.00005095279,0.0001849316,0.0002758235,0.00001701835,0.00008075711,0.00005415611,0.0004466433,0.9906562,0.0005753983,0.0003054102,0.007209293],"study_design_scores_gemma":[0.00002429751,0.000211705,0.0009905437,0.000006424596,0.000008374213,0.0000650613,0.00002461555,0.002372136,0.9934497,0.00004885499,0.002791931,0.000006255532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849509,0.002017301,0.007267116,0.0001613441,0.00009565918,0.00006398576,0.0001673835,0.0001125278,0.005163825],"genre_scores_gemma":[0.9971479,0.0004840493,0.001242614,0.00002212989,0.000009432573,0.00001206601,0.00005080852,0.00001026616,0.001020885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001791953,"threshold_uncertainty_score":0.005994678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174495624533507,"score_gpt":0.2662401912580657,"score_spread":0.248790628804715,"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."}}