{"id":"W2808461472","doi":"10.1115/jrc2018-6245","title":"Tank Car Sloshing on Rail Transportation Safety Under Various Loading, Track and In-Train Force Conditions","year":2018,"lang":"en","type":"article","venue":"","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Slosh dynamics; Derailment; Marshalling; Train; Engineering; Track (disk drive); Tonnage; Marine engineering; Structural engineering; Automotive engineering; Vehicle dynamics; Computer science; Mechanical engineering; Geology","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":[0.0004145399,0.000491975,0.0004225673,0.0008722192,0.0003652286,0.0005046036,0.0003300322,0.000448256,0.001783596],"category_scores_gemma":[0.001264052,0.0001785539,0.0005687437,0.0004140042,0.0004106913,0.0006446575,0.0005508423,0.0002707473,0.0002520319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007016078,"about_ca_system_score_gemma":0.0004825691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01296083,"about_ca_topic_score_gemma":0.01546808,"domain_scores_codex":[0.9996933,0.00004340181,0.0000159019,0.00004675156,0.0001063427,0.00009440204],"domain_scores_gemma":[0.9990523,0.0004056073,0.0001685363,0.00008163005,0.0002446925,0.00004714474],"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":[0.001124739,0.000301968,0.1416013,0.0002687032,0.0001146733,0.0009964189,0.0005216852,0.7206831,0.1041086,0.0006567587,0.0003958868,0.02922614],"study_design_scores_gemma":[0.00002013484,0.001556881,0.1657867,0.00003358049,0.0002035402,0.0002618572,0.001399866,0.7517807,0.07771231,0.0004338903,0.0007414184,0.00006915932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977761,0.00003319805,0.001481309,0.000009448351,0.000002803952,0.000005604319,0.00007777788,0.00002657696,0.0005870595],"genre_scores_gemma":[0.9995036,0.00003118915,0.0001731573,0.000001807571,7.334936e-7,0.000001882759,0.00004518832,0.000004004615,0.0002383969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01296083,"threshold_uncertainty_score":0.02577078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006175059884026084,"score_gpt":0.2096391455388515,"score_spread":0.2034640856548254,"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."}}