{"id":"W2038369443","doi":"10.1121/1.4757970","title":"Mid frequency shallow water fine-grained sediment attenuation measurements","year":2013,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Office of Naval Research","keywords":"Attenuation; Reverberation; Waves and shallow water; Sediment; Geology; Acoustics; Range (aeronautics); Silt; Materials science; Optics; Physics; Oceanography; Geomorphology","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":[0.001085505,0.000132883,0.000229167,0.00002375339,0.000227577,0.00004573475,0.0008118353,0.00005736898,0.002616525],"category_scores_gemma":[0.0001313832,0.00005432135,0.000255111,0.0001770328,0.0004695283,0.0001703224,0.00006482853,0.0003970428,0.0001361559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003079433,"about_ca_system_score_gemma":0.00008278654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166612,"about_ca_topic_score_gemma":0.00001570816,"domain_scores_codex":[0.9975572,0.0002548967,0.000451949,0.00009646005,0.00125259,0.0003869342],"domain_scores_gemma":[0.9986611,0.0003100128,0.0002289692,0.0002602933,0.0004022004,0.0001373955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001950595,0.0003041759,0.05639327,0.0001353981,0.0009448894,0.000002978282,0.004145378,0.2876221,0.5295269,3.343266e-7,0.06730402,0.05342552],"study_design_scores_gemma":[0.001376709,0.001180059,0.08059524,0.0001261737,0.0004899764,0.00007920085,0.001843598,0.8786528,0.02673255,0.007748157,0.0007962447,0.0003792617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4519772,0.0005355328,0.485658,0.0575315,0.001056362,0.001151497,0.00004952279,0.00003144726,0.00200888],"genre_scores_gemma":[0.9764,0.00007038575,0.02226087,0.0009241944,0.0001646275,6.61337e-7,0.000003752742,0.00000569662,0.0001698022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5910307,"threshold_uncertainty_score":0.9982952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278887602705646,"score_gpt":0.2503936699779655,"score_spread":0.2176047939509091,"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."}}