{"id":"W4410345056","doi":"10.1016/j.ccst.2025.100439","title":"Systematic approach to the design, modeling, and techno-economic-environmental analysis of CO2 capture technologies as part of the National CCUS Assessment Framework (NCAF)","year":2025,"lang":"en","type":"article","venue":"Carbon Capture Science & Technology","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Natural Resources Canada; Office of Energy Research and Development; Government of Canada","keywords":"Computer science; Environmental resource management; Environmental science; Systems engineering; Environmental planning; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01567243,0.001640487,0.0009666566,0.003440178,0.001179636,0.004967354,0.002876717,0.001604405,0.001815976],"category_scores_gemma":[0.01371357,0.001075974,0.001915345,0.002655671,0.001994597,0.00381324,0.00329256,0.003802626,0.0006111029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00535403,"about_ca_system_score_gemma":0.02028475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01542089,"about_ca_topic_score_gemma":0.02139693,"domain_scores_codex":[0.9919367,0.003740656,0.0005412147,0.0005943578,0.002870434,0.000316645],"domain_scores_gemma":[0.9903724,0.003629752,0.0008557273,0.001920299,0.003003188,0.000218658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005517376,0.0005073709,0.005864967,0.001260789,0.0002400625,0.0001913481,0.0004669237,0.6501456,0.009467436,0.1753399,0.005983244,0.1504772],"study_design_scores_gemma":[0.00003120666,0.0002029976,0.003377928,0.000770473,0.00008103667,0.00009060889,0.0006012611,0.8102139,0.009767198,0.1218072,0.05290994,0.0001462747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01329435,0.001037958,0.9707112,0.002219676,0.00009992084,0.0008803131,0.001304456,0.0005727226,0.009879309],"genre_scores_gemma":[0.1201282,0.002048736,0.8728519,0.0003335401,0.00005907599,0.00123265,0.001704787,0.000147913,0.00149313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01567243,"threshold_uncertainty_score":0.08288473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009392556779237672,"score_gpt":0.2373661858704864,"score_spread":0.2279736290912487,"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."}}