{"id":"W7058496852","doi":"","title":"Novel, low energy, pre-combustion carbon capture feasibility study = Estudio de factibilidad de novedoso proceso de captura de carbono pre-combustion","year":2012,"lang":"en","type":"other","venue":"Bogotá (Banco de la República)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Integrated gasification combined cycle; Greenhouse gas; Carbon capture and storage (timeline); Power station; Fossil fuel; Process (computing); Carbon dioxide; Outgassing; Carbon dioxide removal","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00149032,0.001140908,0.001091219,0.0004753885,0.0001034472,0.0001694916,0.0007892806,0.002325904,0.0002425709],"category_scores_gemma":[0.0005953687,0.001239934,0.0002660821,0.0005169261,0.0001775729,0.000130877,0.0001751951,0.001764373,0.000004582336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0022177,"about_ca_system_score_gemma":0.0005045604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02472153,"about_ca_topic_score_gemma":0.007750533,"domain_scores_codex":[0.9952928,0.0005356526,0.0007971909,0.001123371,0.0006148215,0.001636205],"domain_scores_gemma":[0.9968269,0.0003189434,0.00040378,0.001774556,0.0001349897,0.0005408192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001086241,0.008818498,0.4792664,0.01012699,0.002486676,0.0005022332,0.03754213,0.03094566,0.1506462,0.0009415118,0.2651621,0.01247527],"study_design_scores_gemma":[0.009943906,0.002265294,0.6627624,0.004121899,0.004190965,0.00244705,0.001859713,0.09238157,0.07661505,0.00210351,0.1294678,0.01184081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8356157,0.004287695,0.0306821,0.0001396994,0.0007235766,0.004334648,0.0001471553,0.006587913,0.1174815],"genre_scores_gemma":[0.9609599,0.000270385,0.01182942,0.0001408639,0.001068096,0.0007295472,0.00006613647,0.0009301683,0.02400548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.183496,"threshold_uncertainty_score":0.999005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008197020047123691,"score_gpt":0.2430640243002878,"score_spread":0.2348670042531641,"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."}}