{"id":"W4220855270","doi":"10.1002/lom3.10484","title":"Evaluation of discrete target detection with an acoustic Doppler current profiler","year":2022,"lang":"en","type":"article","venue":"Limnology and Oceanography Methods","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustic Doppler current profiler; Echo sounding; Doppler effect; Current (fluid); Bay; Environmental science; Backscatter (email); Pelagic zone; Oceanography; Remote sensing; Ocean current; Geology; Chesapeake bay; Estuary; Physics; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00142983,0.0004885512,0.0004459439,0.0009370418,0.0002118571,0.000638292,0.0006618683,0.0007067972,0.0006721052],"category_scores_gemma":[0.003773436,0.0002543375,0.0002287918,0.0004812704,0.0003102663,0.0007153606,0.0007245807,0.0002982094,0.0003368807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004735983,"about_ca_system_score_gemma":0.0003136712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00246185,"about_ca_topic_score_gemma":0.002239667,"domain_scores_codex":[0.998997,0.0001935361,0.00004771512,0.0002175153,0.0004719717,0.00007224341],"domain_scores_gemma":[0.9975281,0.001225002,0.0002190443,0.00009415967,0.0007787088,0.0001550696],"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":[0.002948383,0.0003824688,0.08475345,0.0003215763,0.0001088439,0.0002845007,0.0002906002,0.007467994,0.7550241,0.0001605658,0.0003920614,0.1478654],"study_design_scores_gemma":[0.0001876513,0.009023801,0.1877901,0.00003215353,0.0003431748,0.0007339076,0.0004138213,0.2788327,0.5208527,0.0001225194,0.001556331,0.0001111105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588012,0.0002073629,0.03984452,0.00003970068,0.00003044418,0.00007385519,0.0001197665,0.0003295773,0.0005536282],"genre_scores_gemma":[0.9661344,0.0001183467,0.03294537,0.00003613473,0.000009931527,0.0000500801,0.0001229913,0.00002447569,0.0005581937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00246185,"threshold_uncertainty_score":0.007561743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773588356978902,"score_gpt":0.3272670661997015,"score_spread":0.2995311826299125,"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."}}