{"id":"W2797807349","doi":"10.1016/j.petrol.2018.04.023","title":"Numerical simulation of the thermomechanical behavior of cement sheath in wells subjected to steam injection","year":2018,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Universidade Federal do Rio Grande do Norte; Polytechnique Montréal","keywords":"Cement; Materials science; Steam injection; Slurry; Cracking; Composite material; Geotechnical engineering; Petroleum engineering; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005621429,0.00008715811,0.0001776206,0.0003314684,0.00002505824,0.00001312843,0.0001752797,0.00003510763,0.000003724593],"category_scores_gemma":[0.00008700665,0.00006666874,0.00003948425,0.0006914407,0.00003851857,0.0001616116,0.0000262396,0.0001472773,4.226143e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012392,"about_ca_system_score_gemma":0.00003070142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001190057,"about_ca_topic_score_gemma":0.000001622186,"domain_scores_codex":[0.9990225,0.000005803332,0.0003610394,0.00007770146,0.0003583257,0.0001746169],"domain_scores_gemma":[0.9996043,0.00003280102,0.00005968055,0.0001033036,0.0001262221,0.0000737081],"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":[0.000005620179,0.00001243553,0.001000626,0.00001910409,0.000003755633,5.347574e-7,0.0001810738,0.7643045,0.2335013,0.00001311614,0.000002103158,0.0009558555],"study_design_scores_gemma":[0.0001978742,0.0002369912,0.03649905,0.0001566879,0.00001211326,0.00001490593,0.00005225461,0.8886335,0.07403647,0.000004056827,0.00007630332,0.00007981677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552616,0.00005375919,0.0439555,0.00001239926,0.0005977024,0.00004938225,6.138345e-7,0.00001390154,0.00005516719],"genre_scores_gemma":[0.9993848,0.00001008132,0.0004955596,0.000004337208,0.00009054752,0.000001390002,4.236357e-8,0.00001036161,0.00000286653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594648,"threshold_uncertainty_score":0.2718672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007222279701919753,"score_gpt":0.2214492953115036,"score_spread":0.2142270156095839,"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."}}