{"id":"W1997661800","doi":"10.1139/l08-026","title":"Experimental evaluation of accuracy of current practices in analysis and design of railway track sleepers","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ballast; Track (disk drive); Current (fluid); Structural engineering; Load factor; Engineering; Dynamic load testing; Structural dynamics; Load distribution; Structural load; Design load; Marine engineering; Finite element method; Mechanical engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006943888,0.0001376217,0.0004120984,0.001133009,0.00001258925,0.000006513323,0.0001301981,0.00005944635,0.00002909984],"category_scores_gemma":[0.0004924905,0.0001510479,0.0001005726,0.0006079613,0.00003744369,0.0002569054,0.000004478189,0.0001915798,1.05538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155684,"about_ca_system_score_gemma":0.0002612656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002797648,"about_ca_topic_score_gemma":0.002227452,"domain_scores_codex":[0.9988267,0.00003296549,0.0005973916,0.00007889513,0.0002818686,0.0001821917],"domain_scores_gemma":[0.9990378,0.0001645789,0.0003142844,0.0001256235,0.0001727979,0.0001849274],"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":[0.000005540522,0.00001342996,0.003228391,0.0001022023,0.000200503,0.000007687157,0.001418635,0.9771291,0.01718633,0.00001730301,0.00001204643,0.0006788232],"study_design_scores_gemma":[0.0005689177,0.0000654402,0.02308735,0.0001858902,0.0002416467,0.00004253899,0.0001873118,0.9613729,0.0140562,0.000005674893,0.00003790282,0.0001482095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352288,0.01019106,0.05412987,0.000003797621,0.0002381535,0.0001013814,0.00001199907,0.00000773585,0.00008722799],"genre_scores_gemma":[0.9984014,0.0002198068,0.001326407,4.85097e-7,0.00002583308,0.000002717371,0.000002046764,0.00002045908,8.491407e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06317263,"threshold_uncertainty_score":0.6159555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04174171387711336,"score_gpt":0.2708989364486757,"score_spread":0.2291572225715623,"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."}}