{"id":"W4406089270","doi":"10.2139/ssrn.5070978","title":"Supersonic carbon capture from industrial gaseous effluents","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Supersonic speed; Environmental science; Effluent; Carbon fibers; Waste management; Greenhouse gas; Environmental chemistry; Environmental engineering; Materials science; Chemistry; Engineering; Aerospace engineering; Geology; Oceanography; Composite material","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":[0.0002554245,0.0003515036,0.0002964547,0.0004838807,0.0006022347,0.0005900299,0.0003238253,0.0004874406,0.003873116],"category_scores_gemma":[0.0002049926,0.0001158993,0.0002835104,0.0004740226,0.0004190702,0.000536485,0.0005213806,0.0007214153,0.0007054731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100959,"about_ca_system_score_gemma":0.000650993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010091,"about_ca_topic_score_gemma":0.03334931,"domain_scores_codex":[0.9996649,0.00002135912,0.000008684239,0.00005021034,0.000150202,0.0001047003],"domain_scores_gemma":[0.9999321,0.00001877872,0.00000830981,0.000007222133,0.00002435393,0.000009260782],"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":[0.0006660291,0.0001159541,0.002354848,0.0003319151,0.00003976751,0.0002675057,0.0001847243,0.003296034,0.9638036,0.00202075,0.001051741,0.02586715],"study_design_scores_gemma":[0.00002166738,0.0003862515,0.006570589,0.00002401656,0.00001751698,0.00007874367,0.0001812978,0.003979777,0.9839535,0.0002456101,0.00452924,0.00001177358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777608,0.001062122,0.00265482,0.0001466914,0.00007620277,0.00003642801,0.000226606,0.00005447904,0.01798172],"genre_scores_gemma":[0.9904836,0.0004959495,0.0006498041,0.00005415448,0.00001490105,0.000007847959,0.0002171261,0.00001428168,0.008062333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010091,"threshold_uncertainty_score":0.0200842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005327982114500445,"score_gpt":0.1907724122222066,"score_spread":0.1854444301077061,"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."}}