{"id":"W4400285559","doi":"10.1121/10.0026861","title":"Relationships and statistics between various vibration metrics, derived from a large set of measured train pass-bys","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Arup Group (Canada)","funders":"","keywords":"Statistics; Set (abstract data type); Vibration; Mathematics; Computer science; Acoustics; Physics","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":[0.0005789681,0.000108471,0.0002663606,0.00003299227,0.00006752261,0.00002063414,0.0001875793,0.0000846804,0.000007697992],"category_scores_gemma":[0.0003932675,0.00006840059,0.0001316022,0.0003338627,0.0001353521,0.00006555872,0.00003496357,0.0005409269,7.012645e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005327568,"about_ca_system_score_gemma":0.00004052189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002063893,"about_ca_topic_score_gemma":8.967446e-7,"domain_scores_codex":[0.9989939,0.00009566859,0.0004014632,0.00005574292,0.0003181418,0.0001351281],"domain_scores_gemma":[0.9980906,0.00150079,0.000117136,0.0001442492,0.00008562113,0.00006155379],"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":[0.00003743909,0.0000477207,0.001268512,0.0004329924,0.001734684,0.000002834579,0.008854676,0.9160905,0.03682243,0.0001496872,0.01259103,0.02196749],"study_design_scores_gemma":[0.0001637593,0.00005805516,0.01070081,0.00007993104,0.0004294574,0.000006109027,0.0005904801,0.9853081,0.0002743053,0.002023778,0.0002875691,0.00007765349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03536799,0.001105147,0.9623193,0.0004607941,0.0001720175,0.00005945306,0.0004725871,0.00002898255,0.00001379976],"genre_scores_gemma":[0.8979645,0.0004752463,0.1013903,0.00002320148,0.0001120964,3.004229e-7,0.000007229366,0.00002073398,0.000006401769],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8625966,"threshold_uncertainty_score":0.2789295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791498195271649,"score_gpt":0.2320743963070526,"score_spread":0.2141594143543361,"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."}}