{"id":"W2750045390","doi":"10.3390/pr5030044","title":"Comparison of CO2 Capture Approaches for Fossil-Based Power Generation: Review and Meta-Study","year":2017,"lang":"en","type":"article","venue":"Processes","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Pusat Pengurusan Penyelidikan dan Instrumentasi","keywords":"Process engineering; Fossil fuel; Coal; Work (physics); Carbon capture and storage (timeline); Electricity generation; Environmental science; Power station; Combustion; Process (computing); Computer science; Waste management; Environmental economics; Engineering; Power (physics); Chemistry; Economics; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001218145,0.00015066,0.0005294466,0.00003498958,0.00005069761,0.00005383802,0.0002349402,0.00006650404,0.00001015268],"category_scores_gemma":[0.0004683137,0.0001165081,0.00004986909,0.00005889234,0.00007511509,0.0001069549,0.00003218083,0.00007756032,4.007321e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009479993,"about_ca_system_score_gemma":0.000023379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004965246,"about_ca_topic_score_gemma":0.0000706795,"domain_scores_codex":[0.9994248,0.000005712683,0.0002044979,0.0001651336,0.00009322391,0.0001067013],"domain_scores_gemma":[0.9993128,0.00004337715,0.0001101303,0.000400254,0.000112546,0.00002087372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002154291,0.004171333,0.1399453,0.4778441,0.02127602,0.00003241864,0.01248454,0.05124759,0.01352909,0.00651154,0.2418244,0.0309182],"study_design_scores_gemma":[0.006396743,0.001657528,0.01019622,0.001115168,0.04779043,0.0000308982,0.006111634,0.05027819,0.7359518,0.001933627,0.1341057,0.004432095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09462544,0.8927945,0.006611397,0.001505651,0.0001209655,0.002204861,0.00006163975,0.0006221284,0.00145342],"genre_scores_gemma":[0.9971889,0.000454095,0.00182608,0.00003064474,0.00001507929,0.0004381904,0.00000416644,0.0000187458,0.00002415644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9025634,"threshold_uncertainty_score":0.4751064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1607919128018523,"score_gpt":0.3285224478453962,"score_spread":0.1677305350435438,"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."}}