{"id":"W4229442274","doi":"10.2218/marine2021.6804","title":"Novel Modeling Methodology of the Deep-water Flexible Riser with the Slug-flow","year":2022,"lang":"en","type":"article","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Slug; Slug flow; Flow (mathematics); Environmental science; Petroleum engineering; Marine engineering; Computer science; Geology; Mechanics; Engineering; Two-phase flow; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002440024,0.0006784782,0.0006366015,0.0005616152,0.0004761808,0.0008275885,0.001465536,0.001011912,0.002388639],"category_scores_gemma":[0.0002572776,0.0003630126,0.001067708,0.0003892785,0.000564129,0.0009631912,0.0008498565,0.0007960249,0.0004178305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405492,"about_ca_system_score_gemma":0.000937383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006268058,"about_ca_topic_score_gemma":0.003639768,"domain_scores_codex":[0.9998379,0.00002729871,0.00001090133,0.0000455535,0.00006045457,0.00001801577],"domain_scores_gemma":[0.9999295,0.00001444034,0.00001815293,0.00001000707,0.00002095918,0.000006871172],"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":[0.00001519265,0.00002406021,0.0007301156,0.00008681378,0.00001879172,0.0002057003,0.000120066,0.9535586,0.01155919,0.01866603,0.0003618483,0.01465373],"study_design_scores_gemma":[0.000002804173,0.000016121,0.0001059569,0.000005013426,0.00000637609,0.00003533121,0.00001549018,0.9963114,0.0007896023,0.00109951,0.001606482,0.000005855891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01395521,0.0002389205,0.9800839,0.0001147735,0.00004835654,0.00004185828,0.00009011363,0.0003109616,0.005115956],"genre_scores_gemma":[0.8004272,0.001267992,0.1816445,0.00009007153,0.00008288786,0.0003153931,0.0003540418,0.0001433805,0.01567458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006268058,"threshold_uncertainty_score":0.01246315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417029210879761,"score_gpt":0.2113492135514007,"score_spread":0.1771789214426031,"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."}}