{"id":"W4210816201","doi":"10.1016/j.jcou.2022.101911","title":"Electrified methane reforming decarbonises methanol synthesis","year":2022,"lang":"en","type":"article","venue":"Journal of CO2 Utilization","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Syngas; Methane; Syngas to gasoline plus; Methanol; Carbon dioxide reforming; Carbon dioxide; Steam reforming; Renewable energy; Waste management; Carbon fibers; Integrated gasification combined cycle; Natural gas; Chemistry; Chemical engineering; Hydrogen; Hydrogen production; Materials science; 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":[0.00008191878,0.0001905813,0.0001752874,0.0001678058,0.0001734183,0.0002822444,0.0003524868,0.000230521,0.006201342],"category_scores_gemma":[0.0001351649,0.0001082715,0.00008931884,0.0001393827,0.0002098795,0.0005080986,0.0004522995,0.0003610429,0.000677795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167471,"about_ca_system_score_gemma":0.00009771215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002299316,"about_ca_topic_score_gemma":0.0007166413,"domain_scores_codex":[0.9999202,0.00000872315,0.00000360016,0.00001334077,0.00003104972,0.00002309178],"domain_scores_gemma":[0.9999648,0.00001400014,0.000005584811,0.000007081616,0.000004491136,0.000003916603],"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":[0.0003862258,0.00008389867,0.0002858893,0.0003412412,0.00001791386,0.000258725,0.0001022167,0.001292452,0.9432677,0.009461961,0.0008532568,0.04364847],"study_design_scores_gemma":[0.00001563929,0.0001605264,0.000422953,0.00000965267,0.00000507866,0.00009401999,0.00004862111,0.00255296,0.983259,0.0004330318,0.01299177,0.000006877511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507779,0.00224931,0.01253104,0.0003878801,0.0002028262,0.0000403802,0.0001823942,0.0003019054,0.03332627],"genre_scores_gemma":[0.9888582,0.0005588532,0.00223489,0.00004755283,0.00002072814,0.00001126834,0.00007835756,0.00002137047,0.00816868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006201342,"threshold_uncertainty_score":0.02074558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614621984888474,"score_gpt":0.2894411661659407,"score_spread":0.253294946317056,"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."}}