{"id":"W4402469789","doi":"10.1016/j.cep.2024.109995","title":"Intensified processes for CO2 capture and valorization by catalytic conversion","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering and Processing - Process Intensification","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Catalysis; Environmental science; Process engineering; Waste management; Chemistry; Engineering; Organic chemistry","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":[0.000395836,0.0005672851,0.0005386955,0.000684339,0.0002315694,0.0006933087,0.0007190285,0.0008020572,0.001781837],"category_scores_gemma":[0.0003856099,0.0002576831,0.0004405537,0.0006889999,0.0005444836,0.0008991585,0.0006944209,0.00136496,0.0006834135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006939535,"about_ca_system_score_gemma":0.0002856179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005102443,"about_ca_topic_score_gemma":0.000879537,"domain_scores_codex":[0.9996909,0.00003389005,0.00001502043,0.00006349199,0.0001394461,0.00005725251],"domain_scores_gemma":[0.9999276,0.00001920443,0.00001185085,0.00001672014,0.00001847103,0.000006101668],"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":[0.00006965415,0.0001459378,0.0002617406,0.00111135,0.00003640688,0.0001321557,0.00007894114,0.001971478,0.9426833,0.01048057,0.000610396,0.04241807],"study_design_scores_gemma":[0.0000167398,0.0001538084,0.0007299401,0.0000372858,0.00003377878,0.0001884363,0.00002519664,0.006218106,0.9624278,0.001072989,0.02907609,0.00001987379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.550862,0.09400103,0.2858029,0.00117656,0.0008130244,0.0006676436,0.0004962142,0.001293463,0.06488724],"genre_scores_gemma":[0.9242587,0.02068682,0.04819224,0.0001536945,0.0001057189,0.0001447336,0.0002454018,0.00008011609,0.006132517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001781837,"threshold_uncertainty_score":0.005960882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148212142008719,"score_gpt":0.2406148625747139,"score_spread":0.2291327411546267,"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."}}