{"id":"W2554238810","doi":"10.1186/s40317-016-0112-9","title":"Probability of acoustic transmitter detections by receiver lines in Lake Huron: results of multi-year field tests and simulations","year":2016,"lang":"en","type":"article","venue":"Animal Biotelemetry","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"U.S. Geological Survey; Great Lakes Fishery Commission","keywords":"Transmitter; Bay; Acoustics; Line (geometry); Bioacoustics; Fish <Actinopterygii>; Geology; Environmental science; Remote sensing; Telecommunications; Physics; Oceanography; Computer science; Fishery; Biology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003085842,0.0007120611,0.0009175495,0.001062407,0.0006030015,0.0009407875,0.001467523,0.001301224,0.0008050389],"category_scores_gemma":[0.006447904,0.0006386263,0.001032511,0.0006746269,0.000829166,0.001111438,0.0005634105,0.0007818036,0.0001145426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002458594,"about_ca_system_score_gemma":0.0007459099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04339741,"about_ca_topic_score_gemma":0.02920417,"domain_scores_codex":[0.9991518,0.0002829036,0.00006488768,0.00024496,0.000102658,0.0001527595],"domain_scores_gemma":[0.9880841,0.009251185,0.001244215,0.0003268272,0.000654012,0.0004396405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003598294,0.0003139245,0.08869112,0.00002894244,0.00009475627,0.0002304024,0.000125616,0.906298,0.0009449029,0.0003005914,0.0002291319,0.002382855],"study_design_scores_gemma":[0.00002798861,0.0002054336,0.01445412,0.000003971367,0.00002336282,0.00003217475,0.00008276595,0.9846545,0.0003470192,0.0001122542,0.0000396954,0.00001661097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991152,0.0000166988,0.000637718,0.00001800385,0.000001782126,0.000009861944,0.00007614564,0.00001959474,0.0001049201],"genre_scores_gemma":[0.9989803,0.00001464222,0.0005723467,0.000007256007,0.000001581405,0.00002245482,0.0002308792,0.000005110548,0.000165392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04339741,"threshold_uncertainty_score":0.08628964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614579009165901,"score_gpt":0.2396648414521984,"score_spread":0.2235190513605393,"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."}}