{"id":"W2043546944","doi":"10.1115/ipc2008-64389","title":"An Overland-Hydrographical Spill Model and Its Application to Pipeline Consequence Modeling","year":2008,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dynamic Systems Analysis (Canada)","funders":"","keywords":"Computer science; Pipeline transport; Pipeline (software); Environmental science; Terrain; Marine engineering; Simulation; Engineering; Environmental 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":[0.00006755159,0.000113105,0.0001469941,0.00008217373,0.00008202508,0.00001331131,0.00009686349,0.0001024825,0.00001614494],"category_scores_gemma":[0.000016089,0.0000940244,0.00004291346,0.0002015872,0.00003424194,0.0001132641,0.00001391463,0.0001492352,0.00001134301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001891171,"about_ca_system_score_gemma":0.00000722183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000165844,"about_ca_topic_score_gemma":0.0000800991,"domain_scores_codex":[0.9993362,0.000008529032,0.0001790083,0.0002119107,0.0001142074,0.0001501047],"domain_scores_gemma":[0.9995813,0.00001474004,0.000007505191,0.0001772332,0.00006343729,0.0001557611],"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":[0.000005049544,0.000006126714,0.00007082616,0.00001354683,0.000008336978,0.000001697911,0.00008667466,0.9710949,0.0268772,0.001496924,0.00001083081,0.0003278954],"study_design_scores_gemma":[0.00007028913,0.00001449931,0.00006695771,0.000004204212,0.00001344605,0.00003556959,0.00001872769,0.9956973,0.002056495,0.001857834,0.00002359576,0.0001410985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7139058,0.00008733325,0.2852549,0.0001628429,0.00001323201,0.00008984955,0.000005790451,0.0001801095,0.0003001742],"genre_scores_gemma":[0.995446,0.0002163527,0.004078778,0.0001617185,0.00003327525,0.00001376519,0.000009409471,0.00001026297,0.0000304567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2815402,"threshold_uncertainty_score":0.3834203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968404126739965,"score_gpt":0.2471964649671233,"score_spread":0.2275124236997237,"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."}}