{"id":"W2054601670","doi":"10.1007/s10652-010-9168-x","title":"Numerical and experimental analysis of wind erosion on a sinusoidal pile","year":2010,"lang":"en","type":"article","venue":"Environmental Fluid Mechanics","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Erosion; Pile; Aeolian processes; Flow (mathematics); Geotechnical engineering; Environmental science; Airflow; Geology; Work (physics); Mechanics; Meteorology; Engineering; Physics; Geomorphology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008476522,0.00009717207,0.0001857638,0.00006885589,0.00004775441,0.000005927924,0.00008256985,0.00006227622,0.002183398],"category_scores_gemma":[0.000006758879,0.00008167461,0.00006468759,0.000129505,0.00004859662,0.00006428156,0.00001584455,0.00009102254,0.00001998365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002724991,"about_ca_system_score_gemma":0.000004827297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000999125,"about_ca_topic_score_gemma":0.00002199292,"domain_scores_codex":[0.9993319,0.00001695564,0.0001439193,0.0001813217,0.0002021233,0.00012378],"domain_scores_gemma":[0.9996791,0.00004723236,0.00005874844,0.0001256895,0.000001495433,0.00008766007],"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":[0.0002082868,0.0002477787,0.05958402,0.00001833368,0.00013334,0.000007152323,0.000483318,0.02869819,0.9050446,0.0002548517,0.00004739616,0.005272741],"study_design_scores_gemma":[0.0002501841,0.0007272526,0.07182889,0.000006828963,0.00009110312,0.000004600654,0.0001722835,0.6930314,0.2336059,0.00006400017,0.00009592156,0.000121723],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992572,0.0001565776,0.000143855,0.000008626718,0.00009309381,0.00007285443,0.00007947836,0.000005492681,0.0001827865],"genre_scores_gemma":[0.9995613,0.00002071398,0.0002668105,0.00004590497,0.00001843278,3.50952e-7,0.00006257621,0.000003019593,0.0000209084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6714388,"threshold_uncertainty_score":0.9987288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004437032762682861,"score_gpt":0.1886422704991862,"score_spread":0.1842052377365034,"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."}}