{"id":"W2617449210","doi":"10.1002/2016wr019695","title":"Calculation of in situ acoustic sediment attenuation using off‐the‐shelf horizontal <scp>A</scp>DCPs in low concentration settings","year":2017,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"PADI Foundation","keywords":"Attenuation; Sediment; Geology; In situ; Backscatter (email); Acoustic attenuation; Environmental science; Soil science; Channel (broadcasting); Acoustic Doppler current profiler; Grain size; Hydrology (agriculture); Geomorphology; Oceanography; Geotechnical engineering; Current (fluid); Meteorology; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.001866688,0.0001069149,0.000147612,0.0000887706,0.0004052819,0.00006649215,0.0003910503,0.0001199844,0.00007722641],"category_scores_gemma":[0.0001454998,0.00007624587,0.00002950694,0.00014661,0.0005385483,0.0003746637,0.0001504934,0.0003260014,0.00005242528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001852205,"about_ca_system_score_gemma":0.00001526371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441126,"about_ca_topic_score_gemma":0.001226912,"domain_scores_codex":[0.9979798,0.0002141153,0.0003222866,0.0003111435,0.0006943417,0.0004783631],"domain_scores_gemma":[0.9994099,0.0001313997,0.00008954591,0.0002883943,0.00002711623,0.00005364025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000504841,0.0001251355,0.4676515,0.00005923387,0.000007922569,0.00002693752,0.02037329,0.04272,0.4675471,0.000003971207,0.0000422112,0.001392256],"study_design_scores_gemma":[0.00128732,0.000201558,0.5646509,0.0001764401,0.00001528655,0.000005100751,0.0009607939,0.07483288,0.354495,0.0002988973,0.002955879,0.0001199035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979579,0.00007143608,0.00009439741,0.0004650245,0.00003815133,0.0004147307,0.000002349675,0.000007955389,0.0009480161],"genre_scores_gemma":[0.9996476,0.00002259951,0.00003355457,0.00002535263,0.00003866301,0.00002259741,0.00002122224,0.00001017535,0.0001782835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1130521,"threshold_uncertainty_score":0.3117142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02826134004889508,"score_gpt":0.2989917591604068,"score_spread":0.2707304191115117,"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."}}