{"id":"W2326507280","doi":"10.1061/40549(276)211","title":"NLINE: Efficient Modeling of 3-D Beach Change","year":2001,"lang":"en","type":"article","venue":"","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bathymetry; Geology; Sediment transport; Range (aeronautics); Term (time); Current (fluid); Transformation (genetics); Oceanography; Geomorphology; Sediment","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":[0.0003530096,0.0005737678,0.0005140353,0.0003873893,0.0004496007,0.001097775,0.001681816,0.0009050402,0.004081308],"category_scores_gemma":[0.001780899,0.0004723309,0.0006196875,0.0005209422,0.0003679266,0.001618099,0.001014806,0.0007871568,0.0009059734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007292468,"about_ca_system_score_gemma":0.0005160145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01370715,"about_ca_topic_score_gemma":0.01151052,"domain_scores_codex":[0.9998404,0.0000388025,0.00001112978,0.00003153027,0.00006229143,0.00001578672],"domain_scores_gemma":[0.9995389,0.0001966519,0.00006057643,0.00007747473,0.00009789334,0.00002855218],"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":[0.0000246793,0.00001478159,0.0007238507,0.00002763144,0.00001126987,0.00005862405,0.00004126763,0.9830846,0.0008625378,0.003880634,0.000916481,0.0103536],"study_design_scores_gemma":[0.000002899324,0.000003077081,0.00005162725,0.000001554112,0.000001205729,0.00000771245,0.000002830809,0.9982421,0.0002007155,0.0005649111,0.000918807,0.000002432431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0300094,0.0001220441,0.9576908,0.000174221,0.00004761383,0.00006719624,0.001001613,0.003015219,0.007871856],"genre_scores_gemma":[0.6231678,0.0004414121,0.3650109,0.0001376606,0.00005116899,0.0003869392,0.001726446,0.000858523,0.008219078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01370715,"threshold_uncertainty_score":0.02725476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931888669544899,"score_gpt":0.2157523576725587,"score_spread":0.1864334709771097,"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."}}