{"id":"W2995963842","doi":"10.3390/fishes4040060","title":"Detection Range of Acoustic Receivers in a Large Hydropower Reservoir","year":2019,"lang":"en","type":"article","venue":"Fishes","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Michener Institute; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telemetry; Hydropower; Salmo; Environmental science; Range (aeronautics); Fish <Actinopterygii>; Acoustics; Fishery; Computer science; Electrical engineering; Telecommunications; Engineering; Physics; Biology","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":[0.0006919035,0.0002342238,0.0002230086,0.0004789659,0.000312217,0.0004675577,0.000675725,0.0003663972,0.0007159502],"category_scores_gemma":[0.001703505,0.0003798373,0.0001601504,0.0003686232,0.0003793401,0.0005137772,0.0006889248,0.0002728202,0.000355274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229293,"about_ca_system_score_gemma":0.0003535009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002770568,"about_ca_topic_score_gemma":0.004154468,"domain_scores_codex":[0.9995642,0.00007815483,0.00002681392,0.0001248213,0.0001477759,0.00005817375],"domain_scores_gemma":[0.9986481,0.0006081511,0.0002698044,0.0000833654,0.0002650203,0.0001256306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009685741,0.0003256151,0.5563192,0.0001228511,0.00008748096,0.001263149,0.001738948,0.007154306,0.3943965,0.0001411706,0.0002352354,0.03724693],"study_design_scores_gemma":[0.00006276901,0.004003922,0.8756486,0.00003662803,0.0001605909,0.001373524,0.001575011,0.02769841,0.08818319,0.0001533953,0.001016971,0.00008703468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987576,0.00001325862,0.0007425721,0.000006913319,9.404719e-7,0.000006352803,0.00003605075,0.00002488772,0.0004114066],"genre_scores_gemma":[0.9988179,0.00001494144,0.0009243744,0.000006195336,0.000001153665,0.000007555735,0.00005182005,0.000004647324,0.0001713721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002770568,"threshold_uncertainty_score":0.00550884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005836128168331462,"score_gpt":0.2031746073128839,"score_spread":0.1973384791445524,"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."}}