{"id":"W2207744965","doi":"10.1111/2041-210x.12520","title":"The influence of environmental parameters on the performance and detection range of acoustic receivers","year":2015,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"Becton Dickinson (Canada)","funders":"","keywords":"Environmental science; Range (aeronautics); Habitat; Telemetry; Hydrophone; Thermocline; Bioacoustics; Water column; Computer science; Ecology; Remote sensing; Geology; Oceanography; Telecommunications; Biology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001373244,0.00004963161,0.00008005444,0.00002177075,0.0001500831,0.000001304243,0.00005989571,0.00004954431,0.000007607724],"category_scores_gemma":[0.0002502361,0.00003169938,0.000008311873,0.00006417244,0.0008396216,0.00006642504,0.00009617177,0.00008328298,0.000003011263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007437654,"about_ca_system_score_gemma":0.000002035512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003197425,"about_ca_topic_score_gemma":0.0005801216,"domain_scores_codex":[0.9993345,0.0003017477,0.0001136687,0.0001025009,0.00004910433,0.00009853661],"domain_scores_gemma":[0.9993147,0.0005188191,0.0000757798,0.00007597171,0.000002071001,0.00001267068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009056631,0.0000231317,0.9846132,0.000005300151,0.00001046416,1.838596e-7,0.0003685533,0.008451113,0.001436472,0.00004638816,0.00007867285,0.004875923],"study_design_scores_gemma":[0.0001879495,0.0002433149,0.9950659,0.000003027889,0.00001382522,0.000001424145,0.0005839228,0.00240131,0.0003385462,0.001067132,0.00006233752,0.00003132847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987825,0.00003070894,0.0003689906,0.0001950853,0.00008003173,0.000150545,6.142171e-7,0.000002697896,0.0003888823],"genre_scores_gemma":[0.9982538,0.000351885,0.001254192,0.00007248086,0.000001788602,0.00002148659,8.236555e-8,0.000001515991,0.00004273349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01045265,"threshold_uncertainty_score":0.3093621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506772057507249,"score_gpt":0.2554492104632924,"score_spread":0.2403814898882199,"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."}}