{"id":"W4226546236","doi":"10.1007/s00419-022-02137-x","title":"Experimental investigation of a reduced-order model for a vortex-induced vibration wind converter","year":2022,"lang":"en","type":"article","venue":"Archive of Applied Mechanics","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lift (data mining); Wind tunnel; Computational fluid dynamics; Lift coefficient; Aerodynamics; Mechanics; Finite element method; Vortex shedding; Vibration; Structural engineering; Physics; Engineering; Acoustics; Computer science; Turbulence; Reynolds number","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":[0.0001011312,0.00009857178,0.000170979,0.0001263811,0.00006085733,0.000005833161,0.0001001214,0.00002698053,0.0000324402],"category_scores_gemma":[0.000003621846,0.0001161986,0.00006785324,0.0001574579,0.00001026787,0.00004811384,0.00004543878,0.00007227604,6.392125e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003387412,"about_ca_system_score_gemma":0.00004600135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004222568,"about_ca_topic_score_gemma":0.000003580614,"domain_scores_codex":[0.9993035,0.000009728902,0.0002795821,0.0001397568,0.0001650069,0.0001023765],"domain_scores_gemma":[0.9996709,0.00002484642,0.00008265536,0.0001533931,0.00003078086,0.00003738558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000354419,0.00001716486,3.002142e-7,0.0000196324,0.00003737669,3.522136e-8,0.001487214,0.2189343,0.6593927,0.1198718,0.0000508941,0.0001531885],"study_design_scores_gemma":[0.0003057045,0.00005202159,0.000001995812,0.000002134475,0.00002085886,2.065989e-7,0.0003573369,0.6821332,0.2975589,0.01948769,0.000006027814,0.00007391162],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3467382,0.000007836191,0.6524366,0.00001942217,0.000058543,0.0003083749,0.00007436684,0.00002979297,0.0003268212],"genre_scores_gemma":[0.9760564,0.000002414453,0.02351308,0.00007101386,0.00001022323,0.0001137612,0.000197068,0.00002645488,0.000009569573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6293182,"threshold_uncertainty_score":0.4738441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394304168862839,"score_gpt":0.2131419919804106,"score_spread":0.1991989502917823,"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."}}