{"id":"W2751657465","doi":"10.1115/1.4037830","title":"An Innovative Device to Enhance Conductor Bearing Capacity in Deepwater Drilling Operations","year":2017,"lang":"en","type":"article","venue":"Journal of Offshore Mechanics and Arctic Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Chongqing Municipal Education Commission; Chongqing Science and Technology Commission; National Natural Science Foundation of China","keywords":"Deepwater drilling; Conductor; Bearing capacity; Drilling; Bearing (navigation); Seabed; Geotechnical engineering; Geology; Petroleum engineering; Materials science; Mechanical engineering; Engineering; Computer science; Composite material","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":[0.0003184014,0.0001825927,0.0002885242,0.0002153102,0.0001054732,0.0001928141,0.0002713804,0.00009069146,0.000004484706],"category_scores_gemma":[0.0002175611,0.0001697008,0.00003524385,0.0001298058,0.000007810571,0.0004306454,0.00004308534,0.0004861867,5.650738e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008021034,"about_ca_system_score_gemma":0.00001409496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002709582,"about_ca_topic_score_gemma":0.00004990419,"domain_scores_codex":[0.9990679,0.000007700534,0.0003871945,0.0001341598,0.0001496479,0.000253397],"domain_scores_gemma":[0.9993796,0.0000312335,0.00005031149,0.0002382554,0.0001405304,0.0001600755],"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":[0.000003746799,0.000008877676,0.00008818433,0.00007068258,0.00003151529,0.00001397502,0.0004887193,0.855005,0.1404193,0.002819964,0.00000173582,0.001048265],"study_design_scores_gemma":[0.0003251558,0.000172595,0.006884909,0.0005043885,0.00002257808,0.0001210154,0.0001408944,0.9536862,0.03633288,0.0007726041,0.0005789928,0.0004578158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7775545,0.00009499321,0.2217111,0.00008470825,0.0004359747,0.00006643225,0.000001982764,0.00003540486,0.00001488551],"genre_scores_gemma":[0.9744428,0.00004779598,0.02532472,0.00002250221,0.0001229468,0.000003998939,6.935396e-7,0.00003146794,0.000003104375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1968883,"threshold_uncertainty_score":0.6920198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026995946374609,"score_gpt":0.2523772506209376,"score_spread":0.2321072911571915,"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."}}