{"id":"W2071983321","doi":"10.1109/iwaci.2011.6161814","title":"Application of three artificial intelligence techniques for operational problem solving in a CO&lt;inf&gt;2&lt;/inf&gt; capture process system","year":2011,"lang":"en","type":"article","venue":"","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Artificial intelligence; Process (computing); Computer science; Key (lock); Artificial neural network; Machine learning; Data mining; Programming language; Operating system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001885519,0.001039187,0.0008535669,0.001247443,0.00110955,0.002235118,0.001539501,0.001452393,0.003687489],"category_scores_gemma":[0.005574498,0.0003648803,0.0009070785,0.001087628,0.0007699082,0.001393394,0.001647095,0.001605853,0.0004984066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885083,"about_ca_system_score_gemma":0.002805453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01647342,"about_ca_topic_score_gemma":0.01138947,"domain_scores_codex":[0.9984573,0.0005233545,0.0001624159,0.0002379124,0.0004473123,0.000171657],"domain_scores_gemma":[0.9979581,0.001104979,0.0001422341,0.0001631471,0.0005200866,0.0001113749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009449124,0.002154154,0.005401494,0.000445639,0.0002430511,0.000398799,0.001879844,0.3404913,0.01569033,0.01316439,0.002834735,0.6163514],"study_design_scores_gemma":[0.00006913993,0.0001718876,0.0008684307,0.00001722357,0.00004819749,0.00003705191,0.000240086,0.9883394,0.005200261,0.002791554,0.002197151,0.00001953604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1812511,0.0002877702,0.7947606,0.000924024,0.0000640445,0.001052279,0.0001399616,0.002577143,0.01894309],"genre_scores_gemma":[0.4296399,0.000183535,0.5649799,0.000212302,0.00002522681,0.0005960945,0.0001771881,0.00007193712,0.004114025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01647342,"threshold_uncertainty_score":0.03275508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353800680246592,"score_gpt":0.2502407278808228,"score_spread":0.2267027210783569,"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."}}