{"id":"W4404324061","doi":"10.1016/j.powtec.2024.120444","title":"Methane dry reforming in a microwave heating-assisted dense fluidized bed","year":2024,"lang":"en","type":"article","venue":"Powder Technology","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Fluidized bed; Methane; Carbon dioxide reforming; Microwave; Microwave heating; Waste management; Materials science; Environmental science; Chemical engineering; Process engineering; Chemistry; Syngas; Engineering; Catalysis; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004085405,0.0003124526,0.0005241107,0.001345741,0.00003699226,0.00001909531,0.0003622361,0.0005442868,0.00005903915],"category_scores_gemma":[0.000518975,0.0002862269,0.000159147,0.00186695,0.0001037014,0.0001649616,0.0002764718,0.0008933329,0.0001630677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005270959,"about_ca_system_score_gemma":0.00006852477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003163752,"about_ca_topic_score_gemma":0.0001737141,"domain_scores_codex":[0.9978855,0.00002463013,0.0006007415,0.0005742055,0.0001963925,0.0007185707],"domain_scores_gemma":[0.9991205,0.0001492524,0.00005749035,0.0005514818,0.00004167595,0.00007958221],"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":[0.00002117874,0.00002847214,0.0001988509,0.0001644601,0.0000777144,0.0003052957,0.000273744,0.000002642706,0.9411936,0.002157378,0.000009275379,0.05556738],"study_design_scores_gemma":[0.0006556831,0.00003153594,0.00001755855,0.0003500411,0.00004469735,0.0003481459,0.000335431,0.002284396,0.9917416,0.001787302,0.002065193,0.0003383936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99085,0.004379535,0.0005968789,0.0008532806,0.0003153139,0.0002479876,0.000006588703,0.001859742,0.0008907235],"genre_scores_gemma":[0.9960691,0.00004234789,0.003090334,0.00004311226,0.0000753432,0.0001054951,0.00002908135,0.00009997496,0.0004451832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05522899,"threshold_uncertainty_score":0.999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318392817748056,"score_gpt":0.2631433004709891,"score_spread":0.2499593722935085,"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."}}