{"id":"W4413384133","doi":"10.1016/j.decarb.2025.100122","title":"Industrial scaling of molten carbonate electrolytic carbon capture and production of graphene allotropes","year":2025,"lang":"en","type":"article","venue":"DeCarbon","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Carbonate; Graphene; Electrolyte; Scaling; Carbon fibers; Materials science; Chemical engineering; Environmental science; Metallurgy; Nanotechnology; Chemistry; Composite material; Electrode; 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":[0.0002786538,0.0003612205,0.0001786102,0.0005293581,0.0003102261,0.0005567043,0.0004315766,0.0003716234,0.002474426],"category_scores_gemma":[0.0005136558,0.0001231543,0.0002720311,0.0005298079,0.0003037549,0.0005343541,0.0005619172,0.0006834496,0.0004149774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006893803,"about_ca_system_score_gemma":0.0005277447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002205206,"about_ca_topic_score_gemma":0.005826737,"domain_scores_codex":[0.999691,0.00001547612,0.00001203446,0.00005231812,0.0001867175,0.00004245547],"domain_scores_gemma":[0.9998401,0.00001593148,0.00001661869,0.00003758805,0.00006393143,0.00002587245],"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":[0.0001103494,0.0001745157,0.001932964,0.0002612445,0.00002309364,0.0003177366,0.0001260574,0.002422822,0.9384368,0.003010115,0.001250954,0.05193339],"study_design_scores_gemma":[0.00002451723,0.00047352,0.004933966,0.00001858179,0.00001500413,0.0001901859,0.00008900531,0.004956283,0.9644295,0.0004218858,0.02442878,0.00001874947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627395,0.001805286,0.01028415,0.0006141617,0.000228265,0.0001887431,0.0004233735,0.0005542221,0.02316233],"genre_scores_gemma":[0.9805558,0.001300715,0.01380906,0.00006713787,0.00001562568,0.00003137265,0.0002947046,0.00005252301,0.003872997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002474426,"threshold_uncertainty_score":0.008277774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008948628791450143,"score_gpt":0.2186223699829672,"score_spread":0.2096737411915171,"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."}}