{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001593351,0.00004854045,0.00008768594,0.00002910215,0.00003160246,0.000002112324,0.00008531867,0.00003744902,0.003599798],"category_scores_gemma":[0.00004089706,0.00004547261,0.00001913844,0.0001327071,0.00004929774,0.0001183983,0.000131433,0.00005637978,0.0005607586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004950479,"about_ca_system_score_gemma":0.000001063348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001247199,"about_ca_topic_score_gemma":0.01065776,"domain_scores_codex":[0.9995424,0.00002480085,0.00008511272,0.0001313361,0.00007933156,0.0001370473],"domain_scores_gemma":[0.9998115,0.00003457602,0.00003342894,0.0001075966,0.000002097045,0.00001082288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002839031,0.00004773011,0.9882556,0.00001507179,0.000007189809,0.000002857291,0.0002975782,0.0006060703,0.0005360352,0.000004655105,0.01009599,0.0001028409],"study_design_scores_gemma":[0.0003509596,0.0000667698,0.9920253,0.000006987676,0.000005489038,2.313318e-7,0.000256144,0.0004981598,0.0002349697,0.0001488499,0.006351346,0.00005481635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371135,0.000005520902,0.00003249489,0.0002076312,0.0001316824,0.0001506594,0.000001827392,0.00001272834,0.06234394],"genre_scores_gemma":[0.9966528,0.00002472112,0.00002750827,0.0001668781,0.000004707031,0.000009071372,7.90941e-7,0.000003433528,0.003110041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05953933,"threshold_uncertainty_score":0.9973111,"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."}}