{"id":"W2899185622","doi":"10.4043/29139-ms","title":"Simulation of Ice-Structure Interactions Using a Coupled SPH-DEM Method","year":2018,"lang":"en","type":"article","venue":"OTC Arctic Technology Conference","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Mitacs","keywords":"Drag; Smoothed-particle hydrodynamics; Mechanics; Submarine pipeline; Domain (mathematical analysis); Computational fluid dynamics; Discrete element method; Geology; Marine engineering; Computer science; Physics; Engineering; Geotechnical engineering; Mathematics","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":[0.0000513417,0.0001446088,0.0001988581,0.0003975113,0.000110278,0.00001766163,0.0001706348,0.0001722467,0.0007245308],"category_scores_gemma":[0.0002323927,0.0001524451,0.00004341388,0.0005226568,0.0001642649,0.0001964608,0.00005028267,0.0002929161,0.00002259319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009520379,"about_ca_system_score_gemma":0.00003431389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007628946,"about_ca_topic_score_gemma":0.0002037958,"domain_scores_codex":[0.9992315,0.00001775524,0.0003021988,0.000183537,0.00008036013,0.0001846846],"domain_scores_gemma":[0.9989578,0.0002093422,0.00007984797,0.000355446,0.0003662827,0.00003131656],"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":[0.000008468432,0.00002183778,0.001360414,0.00002783385,0.00008020089,8.738704e-7,0.0002800258,0.8263867,0.1594937,0.008126519,0.000007397771,0.004206029],"study_design_scores_gemma":[0.0001514337,0.00004018734,0.0005793702,0.00005960057,0.00004104018,0.00001443119,0.0001448169,0.9891797,0.004202808,0.004899634,0.0005529346,0.0001340739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3462574,0.00001662269,0.6523809,0.00006505686,0.0003700647,0.0001016406,0.00001466494,0.0002522953,0.0005413141],"genre_scores_gemma":[0.9331594,0.000003720299,0.06668182,0.00001151184,0.00004545006,0.000005801951,0.000007757611,0.00002222314,0.00006231471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.586902,"threshold_uncertainty_score":0.7933104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082589738207725,"score_gpt":0.3083580380384585,"score_spread":0.2875321406563813,"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."}}