{"id":"W1975005170","doi":"10.1016/j.egypro.2011.02.263","title":"Geomechanical modeling for CO2 Storage in Wabamun Lake Area of Alberta, Canada","year":2011,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Petroleum engineering; Caprock; Carbon sequestration; Geology; Environmental science; Work (physics); Permeability (electromagnetism); Lead (geology); Geotechnical engineering; Petrology; Mining engineering; Engineering; Carbon dioxide; Geomorphology; Ecology","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":[0.00006719245,0.0001151727,0.0002121592,0.00006257603,0.00001965876,0.000003496567,0.000147001,0.00008086184,0.00006693434],"category_scores_gemma":[0.00004606747,0.0001064527,0.00005746516,0.0001268307,0.000007299318,0.00004479991,0.00001868544,0.00008595175,5.336351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005015159,"about_ca_system_score_gemma":0.0000759129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3925386,"about_ca_topic_score_gemma":0.9452983,"domain_scores_codex":[0.9992827,0.000004724118,0.0002289093,0.0001357039,0.0001147736,0.000233253],"domain_scores_gemma":[0.9996711,0.00004644046,0.00002277263,0.0001510482,0.00003432074,0.00007433534],"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":[0.00001078324,0.00001812439,0.0001020652,0.00006987305,0.00004699208,0.000005185209,0.0002952566,0.9984463,0.00008645717,0.0001662085,0.0003725967,0.0003800832],"study_design_scores_gemma":[0.0002116943,0.00001418113,0.00004612297,0.00002899346,0.00001804813,0.000001338754,0.00006453299,0.9898639,0.005921431,0.0002627625,0.003419742,0.0001472029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8602141,0.000441652,0.1307375,0.00005643518,0.0003965225,0.0001119098,0.00002574362,0.0000936266,0.007922559],"genre_scores_gemma":[0.9987961,0.00002889606,0.0004845252,0.0000254292,0.00004819248,0.00003456751,0.00001832583,0.00002523276,0.0005387156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5527596,"threshold_uncertainty_score":0.6115065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295979319035384,"score_gpt":0.1784959528605362,"score_spread":0.1655361596701824,"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."}}