{"id":"W4286426690","doi":"10.1515/secm-2022-0015","title":"Vibration and noise reduction of pipelines using shape memory alloy","year":2022,"lang":"en","type":"article","venue":"Science and Engineering of Composite Materials","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Materials science; Shape-memory alloy; Reduction (mathematics); Vibration; SMA*; Lamination; Noise (video); Pipeline (software); Composite material; Stiffness; Fiber; Noise reduction; Structural engineering; Acoustics; Mechanical engineering; Computer science; Engineering","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":[0.00009821913,0.0002532085,0.000175388,0.0002155976,0.000138918,0.00009578631,0.0002088429,0.0002261271,0.0007045066],"category_scores_gemma":[0.0001728766,0.0001190147,0.0001937489,0.0001763608,0.0002048377,0.0001964234,0.00014605,0.00009850473,0.0001562426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512437,"about_ca_system_score_gemma":0.0001214978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005731455,"about_ca_topic_score_gemma":0.0008559419,"domain_scores_codex":[0.9999156,0.000009328786,0.000002708201,0.00001722719,0.00004403966,0.00001115101],"domain_scores_gemma":[0.9999353,0.00001313169,0.00001936478,0.000007419411,0.00001808027,0.000006791405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000139872,0.00002620641,0.0005656995,0.00004963332,0.000005341517,0.00008579688,0.00004527685,0.008755511,0.974738,0.0003649817,0.0001586846,0.01506488],"study_design_scores_gemma":[0.00002877545,0.001467348,0.009089465,0.0000131903,0.00002968888,0.0002726843,0.00007686469,0.2046231,0.7793165,0.0003410891,0.004717673,0.00002353537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.923526,0.0003444117,0.07277874,0.00006657949,0.00004027927,0.000009733695,0.00003223875,0.0004059183,0.002796083],"genre_scores_gemma":[0.9903252,0.00005168892,0.008349556,0.000005762646,0.000003435098,0.000003202368,0.00001829813,0.00001278654,0.001230106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007045066,"threshold_uncertainty_score":0.002356768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440213787418838,"score_gpt":0.2317755069297576,"score_spread":0.2173733690555692,"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."}}