{"id":"W4413105259","doi":"10.1093/icesjms/fsaf133","title":"Identification of echoes from demersal aggregations of hake, <i>Merluccius productus</i>, in the Gulf of California","year":2025,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; Universidad Nacional Autónoma de México; National Oceanic and Atmospheric Administration; Comisión de Operación y Fomento de Actividades Académicas, Instituto Politécnico Nacional; Instituto Politécnico Nacional; Consejo Nacional de Ciencia y Tecnología; U.S. Department of the Interior","keywords":"Hake; Merluccius; Demersal zone; Fishery; Merluccius merluccius; Demersal fish; Target strength; Oceanography; Geography; Environmental science; Fishing; Fish <Actinopterygii>; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002912245,0.00023184,0.0001372274,0.0009627963,0.0003740753,0.0003001727,0.0002154844,0.00017258,0.0004094504],"category_scores_gemma":[0.0003852904,0.0001348479,0.0000916753,0.0004092695,0.0001846102,0.0001609311,0.0003040594,0.0001391021,0.0001169922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002952148,"about_ca_system_score_gemma":0.0002126279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05284899,"about_ca_topic_score_gemma":0.1708155,"domain_scores_codex":[0.999896,0.000007434716,0.000008030585,0.00003393886,0.00003778333,0.00001683855],"domain_scores_gemma":[0.9995856,0.00005082638,0.0001267817,0.00002472956,0.000131096,0.00008107466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001022481,0.00002126939,0.9746241,0.00002198619,0.00002790212,0.00008899256,0.0003535512,0.0001908618,0.01148748,0.00001273868,0.0002082661,0.01286063],"study_design_scores_gemma":[0.000001906438,0.00002949007,0.9984285,0.000005792338,0.000009960749,0.00005855703,0.0002737848,0.0004258531,0.0005746996,0.000002915283,0.000185696,0.000002949096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992163,0.00005436101,0.00013259,0.000005262213,0.000001962718,0.000004420136,0.00008853932,0.00001020236,0.0004864452],"genre_scores_gemma":[0.9988146,0.00005636352,0.0006673283,0.00000769711,0.000002749196,0.000005632336,0.0001909363,0.00000244241,0.0002522792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05284899,"threshold_uncertainty_score":0.1050828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053940305265622,"score_gpt":0.2685181647210131,"score_spread":0.2579787616683569,"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."}}