{"id":"W2312337295","doi":"10.2118/177822-ms","title":"Advancements of Shell Cansolv in Post-Combustion CO2 Capture Technology","year":2015,"lang":"en","type":"article","venue":"Abu Dhabi International Petroleum Exhibition and Conference","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon capture and storage (timeline); Enhanced oil recovery; Process engineering; Flexibility (engineering); Combustion; Engineering; Waste management; Coal; Environmental science; Industrial gas; Systems engineering; Turbine; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000139227,0.0001070878,0.0001377739,0.0002977823,0.00001099326,0.00001850624,0.0001137855,0.00009233176,0.00006862684],"category_scores_gemma":[0.00006767412,0.000114323,0.00002011575,0.0001288678,0.00003963914,0.0001695217,0.00002378548,0.0001530966,0.000006456546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007832492,"about_ca_system_score_gemma":0.00002875629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004521016,"about_ca_topic_score_gemma":0.000045421,"domain_scores_codex":[0.9993057,0.00001911285,0.0002387594,0.0001332236,0.0001855727,0.0001175995],"domain_scores_gemma":[0.9995691,0.00002711762,0.00003875863,0.0000993135,0.0002075967,0.0000580803],"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":[0.00004451648,0.00003770906,0.008445701,0.00003686629,0.00003222265,0.000006025924,0.0002790164,0.9693106,0.01254016,0.007104954,0.0001916876,0.001970507],"study_design_scores_gemma":[0.002593,0.0001169862,0.01056005,0.0001850555,0.0000104849,0.00001938724,0.001093893,0.9706647,0.006831218,0.004281599,0.003324347,0.0003192452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955315,0.0002191239,0.03777767,0.0003382374,0.0003546514,0.00005993556,0.00002311002,0.0000942967,0.005818006],"genre_scores_gemma":[0.9970066,0.0001065323,0.002513389,0.0000276272,0.00002470036,0.00001611826,0.00005271125,0.00001066424,0.0002416439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04169165,"threshold_uncertainty_score":0.4661957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593309743705084,"score_gpt":0.2555759016295756,"score_spread":0.2396428041925248,"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."}}