{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001738302,0.0003849559,0.0002738404,0.0003954444,0.0003758261,0.000569815,0.0007472179,0.0006193819,0.002110041],"category_scores_gemma":[0.0007253993,0.0002646201,0.0005683342,0.0004552556,0.0002947884,0.0003940633,0.0004396093,0.0004137857,0.0002106531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009486751,"about_ca_system_score_gemma":0.00138114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04484269,"about_ca_topic_score_gemma":0.02823815,"domain_scores_codex":[0.9999168,0.00001581235,0.000005235806,0.00001321839,0.0000319895,0.00001696898],"domain_scores_gemma":[0.9998079,0.0000737174,0.00002573089,0.00001216649,0.00005537345,0.00002509171],"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":[0.000006784644,0.000004101362,0.0004240211,0.000004379735,0.000001810327,0.00002995059,0.000008868453,0.9968776,0.0002827648,0.001136725,0.00009408589,0.001128933],"study_design_scores_gemma":[0.00000314889,0.000005007574,0.0001700154,0.000001302582,0.000001643917,0.000008688902,0.00000449866,0.9988949,0.0001399425,0.0004781074,0.0002902956,0.000002540914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3071518,0.0002182428,0.6611466,0.0004874516,0.00005146304,0.0001773339,0.001731163,0.001716897,0.02731902],"genre_scores_gemma":[0.960526,0.0002184091,0.03387316,0.00003567447,0.00001264099,0.0001089868,0.000506646,0.0001123997,0.004606105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04484269,"threshold_uncertainty_score":0.08916336,"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."}}