{"id":"W4236982768","doi":"10.1002/fld.2522","title":"Erratum: Numerical modeling of sloshing motion in a tuned liquid damper outfitted with a submerged slat screen","year":2011,"lang":"en","type":"erratum","venue":"International Journal for Numerical Methods in Fluids","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Spelling; Slosh dynamics; Computer science; Damper; Motion (physics); Computer graphics (images); Mechanics; Simulation; Algorithm; Physics; Artificial intelligence; Engineering; Structural engineering; Philosophy","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":[0.0004308899,0.0005565592,0.0007361317,0.0004250647,0.0009964387,0.001241542,0.0008435213,0.001733955,0.02203233],"category_scores_gemma":[0.002562585,0.0002604855,0.0006270374,0.0003657488,0.0005080824,0.001017871,0.0006971097,0.0008931622,0.002418423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006482836,"about_ca_system_score_gemma":0.000705925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005919469,"about_ca_topic_score_gemma":0.007862697,"domain_scores_codex":[0.9997646,0.00002248379,0.00002160265,0.00003677577,0.0001364699,0.00001812276],"domain_scores_gemma":[0.9993759,0.0002302279,0.00003862163,0.00005665065,0.0002532196,0.00004552468],"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":[0.0009256094,0.0001822294,0.00693587,0.0008327947,0.00008430338,0.00614878,0.000650146,0.5584936,0.03250124,0.01652178,0.2765857,0.100138],"study_design_scores_gemma":[0.0001103113,0.0002180858,0.004141735,0.0001642665,0.00006566734,0.0007265167,0.0003679171,0.9067627,0.01207383,0.002613576,0.0726364,0.0001190149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4557395,0.00412286,0.3320551,0.01770692,0.08870477,0.0002800393,0.008615109,0.004989667,0.08778596],"genre_scores_gemma":[0.7320356,0.001247172,0.07934976,0.0009053269,0.0005455214,0.0001144778,0.002525041,0.001616263,0.1816609],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02203233,"threshold_uncertainty_score":0.07370543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04242942281332102,"score_gpt":0.356120375338963,"score_spread":0.3136909525256419,"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."}}