{"id":"W2995803877","doi":"10.1029/2019wr025298","title":"Application of Multifrequency Acoustic Inversions Using Three Horizontally Profiling ADCPs","year":2019,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"PADI Foundation","keywords":"Inversion (geology); Standard deviation; Geology; Acoustic Doppler current profiler; Calibration; Grain size; Attenuation; Geodesy; Soil science; Current (fluid); Mathematics; Physics; Geomorphology; Statistics; Oceanography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003706188,0.000495145,0.0003221882,0.0006950874,0.0003480421,0.0005354663,0.0005370416,0.0003883679,0.0005377003],"category_scores_gemma":[0.001562346,0.0003166394,0.0002817744,0.0006401809,0.0002244373,0.0003977953,0.0005356084,0.0005215321,0.0001755617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007421206,"about_ca_system_score_gemma":0.001087209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05264262,"about_ca_topic_score_gemma":0.06287111,"domain_scores_codex":[0.9997738,0.00002548955,0.0000133923,0.00005884275,0.00009456129,0.00003402052],"domain_scores_gemma":[0.9995393,0.0001186059,0.00007519237,0.00004870073,0.0001924275,0.00002587794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003972023,0.0002362989,0.1191682,0.0001673357,0.0001633802,0.0002127736,0.0009905787,0.1267798,0.4458345,0.0007376806,0.0005113854,0.3048009],"study_design_scores_gemma":[0.00009772553,0.0001683938,0.0886698,0.0000261407,0.00008193769,0.0001020737,0.0002717546,0.7765538,0.1318759,0.0004669161,0.001575134,0.0001104638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476299,0.0000723427,0.04984099,0.00005867207,0.00001462282,0.00005270965,0.0002987273,0.0005326192,0.00149939],"genre_scores_gemma":[0.9457542,0.00003557991,0.05363964,0.00002173432,0.000005102799,0.00002380138,0.0001541926,0.00002525535,0.000340645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05264262,"threshold_uncertainty_score":0.1046724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492840156426892,"score_gpt":0.2969400173532404,"score_spread":0.2620116157889715,"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."}}