{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000675132,0.00009752957,0.0001395079,0.00007979538,0.0002476817,0.0000469704,0.0002230213,0.00005757982,0.0007520773],"category_scores_gemma":[0.0005999363,0.0000782629,0.00005561058,0.0003712342,0.0001644733,0.000351221,0.00003358183,0.0004506428,0.001790173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006382438,"about_ca_system_score_gemma":0.00002798715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917754,"about_ca_topic_score_gemma":0.00009557877,"domain_scores_codex":[0.9979951,0.0002355755,0.0001294971,0.000216759,0.0005180975,0.0009049952],"domain_scores_gemma":[0.9979952,0.00146121,0.0000276231,0.0001832849,0.00005244422,0.0002802471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002144944,0.00009992661,0.9244023,0.0001901791,0.00004220828,0.00005317543,0.001314729,0.0007656408,0.0152067,0.0004703361,0.01302657,0.04421373],"study_design_scores_gemma":[0.000425496,0.0003153267,0.9737535,0.00003102427,0.000009132626,0.00001272623,0.0001452452,0.01846214,0.002136728,0.001067594,0.003432885,0.0002081794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909719,0.0002680995,0.0001829217,0.004812753,0.00028849,0.0001633674,0.000003839132,0.00004385272,0.003264807],"genre_scores_gemma":[0.9969698,0.00001070108,0.0003224202,0.001710854,0.0008435416,0.000006077501,0.00002139823,0.000004425915,0.0001107568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04935121,"threshold_uncertainty_score":0.998987,"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."}}