{"id":"W4256263059","doi":"10.5194/esurf-2018-5","title":"Statistical modeling of the long-range dependent structure of barrier island framework geology and surface geomorphology","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Park Service; Texas Sea Grant, Texas A and M University","keywords":"Geology; Shore; Geomorphology; Range (aeronautics); Coastal geography; Scale (ratio); Barrier island; Classification of discontinuities; Sediment transport; Oceanography; Sediment; Geography; Cartography","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":[0.001464466,0.0002924002,0.000282729,0.0007826459,0.0002523435,0.0006999476,0.0007490024,0.0004786722,0.0005634495],"category_scores_gemma":[0.003237483,0.0002778688,0.0006753751,0.0005519781,0.0007932622,0.00057267,0.000430241,0.0006364659,0.0000982299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008358366,"about_ca_system_score_gemma":0.000565235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955458,"about_ca_topic_score_gemma":0.01306794,"domain_scores_codex":[0.9997321,0.00009261832,0.00001195523,0.00009326296,0.00003390625,0.00003618324],"domain_scores_gemma":[0.9979267,0.001203236,0.0004759071,0.0001388727,0.0001544922,0.0001007416],"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":[0.00007151216,0.00008695418,0.07806133,0.0000257114,0.000193202,0.0001773524,0.0001288467,0.8954228,0.004509655,0.01037159,0.0003397468,0.01061141],"study_design_scores_gemma":[9.190825e-7,0.000009610465,0.008170742,8.691241e-7,0.000004766762,0.000007882511,0.000009270648,0.9909452,0.00007013122,0.0007310252,0.00004636049,0.000003248127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135212,0.00009150399,0.08527833,0.0001766405,0.00001385922,0.00001481187,0.0001664976,0.0001495463,0.0005875799],"genre_scores_gemma":[0.9966002,0.00003186601,0.002821369,0.0000119039,0.000007780749,0.000007526452,0.0001029379,0.00001117947,0.0004052567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01955458,"threshold_uncertainty_score":0.03888154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846012483942575,"score_gpt":0.2614191836325449,"score_spread":0.2429590587931192,"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."}}