{"id":"W4404369787","doi":"10.1115/pvp2024-122624","title":"An Application of Random Response Analysis for Analyzing Vibration Fatigue Failures Due to Liquid Impingement Loads","year":2024,"lang":"en","type":"article","venue":"","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PotashCorp (Canada)","funders":"","keywords":"Random vibration; Vibration; Vibration fatigue; Structural engineering; Response analysis; Computer science; Materials science; Fatigue testing; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008937322,0.0007421061,0.0004564723,0.002141335,0.0002279659,0.0004360793,0.0003983333,0.0006453613,0.001756142],"category_scores_gemma":[0.002835605,0.0002075464,0.000618139,0.0007765272,0.0002810093,0.0003866816,0.0002747998,0.0003028717,0.0004015044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691443,"about_ca_system_score_gemma":0.000251884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185635,"about_ca_topic_score_gemma":0.001522294,"domain_scores_codex":[0.9991367,0.0002569775,0.00005854015,0.0001656356,0.0003204893,0.00006169853],"domain_scores_gemma":[0.9977168,0.001118374,0.0003012165,0.0001530995,0.0006650331,0.00004556889],"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":[0.0006185354,0.0003219089,0.0140223,0.0002511788,0.0001858766,0.0007337237,0.0002014189,0.653567,0.112964,0.002248034,0.0009602491,0.2139258],"study_design_scores_gemma":[0.000006415031,0.0001424101,0.002968658,0.00000604004,0.00001521101,0.00007398906,0.00003416805,0.9882323,0.007757736,0.0004266826,0.000318931,0.00001734669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1544432,0.0001246874,0.8426319,0.00009591858,0.0000230987,0.00008803629,0.0001530795,0.001285016,0.001154988],"genre_scores_gemma":[0.9143782,0.00006106705,0.08436251,0.00003957696,0.00001609509,0.0000804029,0.0001422775,0.00006556488,0.000854368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002185635,"threshold_uncertainty_score":0.005874872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378959926067769,"score_gpt":0.3024286167826101,"score_spread":0.2886390175219324,"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."}}