{"id":"W1559658163","doi":"10.1002/9781118311172.ch1","title":"Optimal Use of Multibeam Technology in the Study of Shelf Morphodynamics","year":2012,"lang":"en","type":"other","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Rijkswaterstaat","keywords":"Bathymetry; Sonar; Seabed; Backscatter (email); Geology; Continental shelf; Remote sensing; Beach morphodynamics; Seafloor spreading; Sediment transport; Sediment; Computer science; Oceanography; Geomorphology; Telecommunications","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":[0.0002860628,0.000133963,0.0002694351,0.0006529111,0.00001327966,0.00001322532,0.0005799576,0.0002163151,0.005316156],"category_scores_gemma":[0.00003159888,0.00007846702,0.00002518876,0.0003947517,0.0001777263,0.00004027811,0.00004167378,0.0002836064,0.00005332811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002731261,"about_ca_system_score_gemma":0.0000323052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02654741,"about_ca_topic_score_gemma":0.03606139,"domain_scores_codex":[0.9988521,0.0001037259,0.0002295056,0.000170128,0.0003732966,0.000271214],"domain_scores_gemma":[0.9992522,0.0001725271,0.0001019173,0.0004177483,0.00002696896,0.00002865261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004708121,0.00100205,0.9310547,0.000139884,0.0001499051,0.00003734266,0.001135765,0.04724134,0.00007604671,0.00002840656,0.0104214,0.008666049],"study_design_scores_gemma":[0.00441841,0.00508353,0.2516663,0.000283289,0.0003163605,0.00007546948,0.0237745,0.6240124,0.0002934106,0.0002507566,0.08811669,0.001708939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5648558,0.0008998314,0.008927261,0.0002025319,0.0004948247,0.005251212,0.0009481074,0.0001892776,0.4182312],"genre_scores_gemma":[0.9264999,0.0000600259,0.01159829,0.000009838598,0.00002892451,0.000002609029,0.00004851003,0.00003034043,0.06172156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6793884,"threshold_uncertainty_score":0.9955931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03750716038890948,"score_gpt":0.270567705516929,"score_spread":0.2330605451280195,"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."}}