{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002517423,0.0001036902,0.0001459251,0.0001081692,0.0004163249,0.000003428197,0.0001019533,0.00003905422,0.001017997],"category_scores_gemma":[0.00004095135,0.00008530371,0.00003033597,0.0003355361,0.0003860025,0.00013027,0.0002254678,0.0001805041,0.000001407607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002659611,"about_ca_system_score_gemma":0.000006484809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006364572,"about_ca_topic_score_gemma":0.0001276267,"domain_scores_codex":[0.9978811,0.001274783,0.0001367524,0.0002893951,0.0002414979,0.0001764311],"domain_scores_gemma":[0.9996182,0.00007271786,0.0001060765,0.0001543602,0.00001878928,0.00002984593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003556499,0.0003524897,0.883758,0.00003768254,0.000282007,0.000001988601,0.001427209,0.00928533,0.00190614,0.0002492961,0.0009775575,0.1013666],"study_design_scores_gemma":[0.0007781669,0.001365377,0.9724609,0.000002767025,0.000475567,0.0000128514,0.0009882099,0.01061558,0.001246961,0.009138352,0.002720364,0.0001948902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511907,0.0003726692,0.04525113,0.0001258354,0.0003620218,0.0005112818,0.00001160242,0.00004364329,0.00213116],"genre_scores_gemma":[0.9794088,0.00005225706,0.02020528,0.00009622112,0.000011263,0.0001834371,0.00001102335,0.000006745607,0.00002496443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1011717,"threshold_uncertainty_score":0.9998952,"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."}}