{"id":"W2980927160","doi":"10.1016/j.apacoust.2019.107082","title":"Corrigendum to “Real-time stochastic model for precise underwater positioning” [Appl. Acoust. 150(06) (2019) 36–43]","year":2019,"lang":"en","type":"erratum","venue":"Applied Acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Underwater; Acoustics; Computer science; Physics; Geology; Oceanography","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0007353413,0.001322633,0.001447229,0.0007859747,0.0006831508,0.0007320786,0.001916703,0.001583903,0.002063713],"category_scores_gemma":[0.0001096164,0.001239614,0.000327709,0.0005399157,0.0003143527,0.000200694,0.0002888817,0.001747296,0.01015033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138608,"about_ca_system_score_gemma":0.001595522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004677413,"about_ca_topic_score_gemma":0.000290976,"domain_scores_codex":[0.9923397,0.00007199432,0.001088516,0.001947982,0.001960707,0.002591122],"domain_scores_gemma":[0.9959419,0.0005181131,0.0003906426,0.001499114,0.0006118813,0.001038351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000229986,0.000055761,0.00000546403,0.0002693273,0.0001207443,0.000009399766,0.0002077075,0.4767704,0.001561824,0.00001865094,0.5201563,0.0005944569],"study_design_scores_gemma":[0.0008715937,0.0003577853,0.00008856424,0.0001621992,0.0005181359,0.00001946946,0.00009223347,0.9803351,0.00004665211,0.00593795,0.009977189,0.001593114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0001605594,0.0001124516,0.9347745,0.0002578736,0.01005871,0.005134801,0.01055612,0.000374195,0.03857076],"genre_scores_gemma":[0.06245331,0.000265004,0.05273121,0.0008652963,0.003572798,0.0002250581,0.03027458,0.0003271804,0.8492855],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8820433,"threshold_uncertainty_score":0.9999525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715637248172056,"score_gpt":0.2542440762993669,"score_spread":0.2270877038176463,"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."}}