{"id":"W1611826328","doi":"10.1029/2012gl052905","title":"Predicting vegetation‐stabilized dune field morphology","year":2012,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Lethbridge","funders":"Ministry of Economy, Trade and Industry; Western Canada Research Grid; Compute Canada; Alberta Innovates; Cenovus Energy; National Aeronautics and Space Administration","keywords":"Deposition (geology); Vegetation (pathology); Geology; Aeolian processes; Sedimentary depositional environment; Sand dune stabilization; Flux (metallurgy); Morphology (biology); Geomorphology; Erosion; Transverse plane; Hydrology (agriculture); Atmospheric sciences; Paleontology; Sediment; Materials science; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001797364,0.0002575751,0.0002520317,0.0004647319,0.0001944123,0.0007363079,0.0003412209,0.0006884066,0.0006842362],"category_scores_gemma":[0.001563534,0.0003179259,0.0002626802,0.0003019546,0.0002235809,0.000429898,0.0002508386,0.0001765525,0.00009258397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000718964,"about_ca_system_score_gemma":0.0004687613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03280525,"about_ca_topic_score_gemma":0.02375687,"domain_scores_codex":[0.9999379,0.00001330196,0.000002937946,0.00002046098,0.000006481515,0.00001896039],"domain_scores_gemma":[0.9995636,0.0001942217,0.00006042658,0.00003835925,0.00006240635,0.00008093051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00005937787,0.00005799293,0.09874976,0.00001382454,0.00003683872,0.00008611602,0.00003503348,0.894035,0.00269444,0.0001990613,0.0001734297,0.003859132],"study_design_scores_gemma":[0.000009118846,0.000008954828,0.01479829,0.000001089128,0.000003265399,0.000007447981,0.00001547414,0.9848497,0.000191966,0.00007369368,0.0000375439,0.000003545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998439,0.00001385759,0.001121955,0.00001985117,0.000001926563,0.000003842556,0.00009524236,0.00003152592,0.0002728072],"genre_scores_gemma":[0.9992323,0.000008344346,0.0005992052,0.000002458981,9.51313e-7,0.00000228219,0.00008532926,0.000003030272,0.00006606827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03280525,"threshold_uncertainty_score":0.06522864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134333994447041,"score_gpt":0.302561055364077,"score_spread":0.2712177154196065,"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."}}