{"id":"W1969321603","doi":"10.2118/112626-ms","title":"Optimized Deepwater Cement Design for Record-Length Expandable Liner","year":2008,"lang":"en","type":"article","venue":"All Days","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Casing; Cement; Slurry; Geotechnical engineering; Oil well; Petroleum engineering; Drilling; Canyon; Geology; Materials science; Engineering; Composite material; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001377921,0.0001653845,0.0001888499,0.00005657722,0.00005905837,0.0000176949,0.0001121331,0.00006815426,0.00006872947],"category_scores_gemma":[0.00001516208,0.0001532701,0.00007054325,0.00005371933,0.00001005435,0.00008636191,0.00001457103,0.00008639089,0.0000731234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004081734,"about_ca_system_score_gemma":0.000008276094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000108287,"about_ca_topic_score_gemma":7.897951e-7,"domain_scores_codex":[0.9991984,0.000008335231,0.0001951897,0.0001575506,0.0000883537,0.0003522076],"domain_scores_gemma":[0.999603,0.00007736362,0.00001354322,0.0001976973,0.00002556842,0.00008277393],"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":[0.00001685609,0.00001361503,0.00001108504,0.00003177822,0.000066664,0.000006052174,0.0002321523,0.9811434,0.00158841,0.00002151211,0.01539149,0.001476981],"study_design_scores_gemma":[0.0009569672,0.00005547163,0.00001040826,0.00002241105,0.00002494144,0.000007882329,0.000009623968,0.849169,0.01969784,0.00006369043,0.1297043,0.0002774279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01182484,0.0003042941,0.9844807,0.00003062011,0.0006955694,0.0002826935,0.000006300138,0.0005431513,0.001831808],"genre_scores_gemma":[0.5741016,0.001101645,0.4207244,0.0001444338,0.0004809543,0.000290949,0.00006300485,0.0001730811,0.002920019],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5637563,"threshold_uncertainty_score":0.6250173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958821000052872,"score_gpt":0.2147178530018,"score_spread":0.1751296430012713,"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."}}