{"id":"W6958363973","doi":"10.6084/m9.figshare.27044864","title":"Quantifying the impact of rail longitudinal level changes on dynamic load magnitudes through instrumented wheelset measurements","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Context (archaeology); Dynamic load testing; Track geometry; Current (fluid); Load factor; Surface (topology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007901733,0.0002739926,0.0002358371,0.00008167564,0.0000518232,0.00009448182,0.0002379124,0.00008578016,0.004389075],"category_scores_gemma":[0.0001156551,0.0001850949,0.0002046949,0.0002833904,0.000005775662,0.0001095013,0.00004219728,0.0002612332,0.0002500454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665213,"about_ca_system_score_gemma":0.0000499142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003823182,"about_ca_topic_score_gemma":0.0001663019,"domain_scores_codex":[0.9989774,0.00001497272,0.00017771,0.0002005086,0.000334882,0.000294578],"domain_scores_gemma":[0.9994913,0.00008797183,0.00002595735,0.0002842809,0.00006753166,0.00004296812],"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":[0.00004348808,0.0001049133,0.0005154029,0.004554106,0.005508832,0.00006681632,0.00191092,0.8761685,0.006426123,0.00006425037,0.08137248,0.02326418],"study_design_scores_gemma":[0.0006294869,0.0003799484,0.03858434,0.008072296,0.0003284606,0.00005154313,0.0000995839,0.939599,0.00354568,0.00006357387,0.007662756,0.0009832933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2573183,0.03893881,0.001277967,0.0003653688,0.002082997,0.001869043,0.6810556,0.004414096,0.0126778],"genre_scores_gemma":[0.9943822,0.00004304949,0.0000988234,0.00000811843,0.00004891908,0.00009124698,0.0051982,0.00006444979,0.00006500338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7370639,"threshold_uncertainty_score":0.9965211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624518027947482,"score_gpt":0.3240987348429,"score_spread":0.1616469320481518,"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."}}