{"id":"W2071983321","doi":"10.1109/iwaci.2011.6161814","title":"Application of three artificial intelligence techniques for operational problem solving in a CO<inf>2</inf> 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000266374,0.0001752122,0.0002077074,0.0001863449,0.00005717118,0.00004105328,0.0002019731,0.0001684004,0.00004740237],"category_scores_gemma":[0.00003964123,0.0001602184,0.0000416678,0.0003095835,0.00003257683,0.0004262177,0.00001181854,0.0001062313,0.00000727737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009763627,"about_ca_system_score_gemma":0.00006647542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003430183,"about_ca_topic_score_gemma":0.0004571447,"domain_scores_codex":[0.9988061,0.00001027889,0.0005955639,0.0002278132,0.0001774534,0.0001828069],"domain_scores_gemma":[0.9992858,0.0000258576,0.0001006999,0.0001566558,0.0003896175,0.00004133295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001516801,0.0003060144,0.001144626,0.003314065,0.00006617206,9.435038e-7,0.007178267,0.1401411,0.06374665,0.737614,0.0006789594,0.04565745],"study_design_scores_gemma":[0.00005725223,0.00004329172,0.00006216534,0.0001234232,0.000008545844,0.000002833819,0.0003786936,0.7878208,0.2082115,0.002944289,0.0001609457,0.0001861921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001880377,0.00007466363,0.9782964,0.00002967104,0.00004299548,0.001255406,0.00001563369,0.0004191141,0.01798576],"genre_scores_gemma":[0.9254138,0.00001222804,0.07350457,0.00002272593,0.00004691053,0.0008628693,0.00007297873,0.00002944027,0.00003450215],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9235334,"threshold_uncertainty_score":0.6533518,"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."}}