{"id":"W1595778927","doi":"10.5539/mas.v9n7p161","title":"Optimization of Network Carbon Capture and Storage System (CCS) Using Mathematical Approach","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Teknologi Sepuluh Nopember","keywords":"Sink (geography); Flue gas; Computer science; Environmental science; Greenhouse gas; Process engineering; Heat sink; Waste management; Engineering; Mechanical engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008596813,0.001125614,0.0009101688,0.0008764296,0.0004959035,0.001550332,0.0007503412,0.001061829,0.004707948],"category_scores_gemma":[0.001353118,0.0006932162,0.000950586,0.0009521518,0.0005975526,0.0008578487,0.0007074505,0.0007175981,0.0003275821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963283,"about_ca_system_score_gemma":0.002086998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107697,"about_ca_topic_score_gemma":0.008619911,"domain_scores_codex":[0.9995734,0.0001604996,0.00001627013,0.00007729026,0.00008510835,0.00008733461],"domain_scores_gemma":[0.9993974,0.0003745624,0.00009540344,0.00001467497,0.00009343325,0.00002447709],"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":[0.000008503133,0.000008093822,0.0001074961,0.00003089169,0.000007059308,0.00001934264,0.000005959655,0.9964669,0.0001536294,0.001866251,0.0001160244,0.001209865],"study_design_scores_gemma":[0.000004730116,0.00001790289,0.00008978909,0.000005854979,0.000005174417,0.000005411026,0.00001318612,0.9982978,0.0000977399,0.001146492,0.0003134393,0.000002440429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.128769,0.002042769,0.8173173,0.001052398,0.0001296238,0.0003495807,0.0006213508,0.0002633425,0.04945478],"genre_scores_gemma":[0.8974693,0.001375571,0.08523051,0.0001252506,0.00004446075,0.0005711675,0.0003399117,0.0000738169,0.01476998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01107697,"threshold_uncertainty_score":0.02202499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127901309579631,"score_gpt":0.2039502666487128,"score_spread":0.1826712535529165,"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."}}