{"id":"W2996624117","doi":"10.14430/arctic69294","title":"Beluga Vocalizations Decrease in Response to Vessel Traffic in the Mackenzie River Estuary","year":2019,"lang":"en","type":"article","venue":"ARCTIC","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Manitoba; Wildlife Conservation Society Canada; Dalhousie University; Fisheries and Oceans Canada; Natural Resources Canada","funders":"Natural Resources Canada; Fisheries and Oceans Canada; Marine Environmental Observation Prediction and Response Network; W. Garfield Weston Foundation; Aurora Research Institute; Fisheries Joint Management Committee","keywords":"Beluga Whale; Beluga; Estuary; Environmental science; Arctic; Channel (broadcasting); Sound (geography); Fishery; Oceanography; The arctic; Geography; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.000244741,0.0001900618,0.0001238527,0.0004845536,0.0005302128,0.0004225996,0.0001765748,0.000235119,0.0009639233],"category_scores_gemma":[0.0006404296,0.0001509509,0.0001383083,0.0002870174,0.0003492814,0.0002323202,0.0003137408,0.0002456227,0.0001522098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008382697,"about_ca_system_score_gemma":0.0006129955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2913973,"about_ca_topic_score_gemma":0.604232,"domain_scores_codex":[0.9998375,0.00002460871,0.000008076889,0.00004507548,0.00004665978,0.00003812253],"domain_scores_gemma":[0.9996654,0.00003298836,0.0001087399,0.00001492957,0.0001169191,0.0000611546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001988863,0.00007122978,0.934513,0.00008077413,0.0001099503,0.0002893265,0.005579592,0.0003445988,0.02871013,0.00009609571,0.001648622,0.02835781],"study_design_scores_gemma":[5.68879e-7,0.00002138911,0.9983485,0.000005613366,0.00000920444,0.00002450901,0.0008205037,0.0000682187,0.000154572,0.000007534329,0.0005368324,0.000002613921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974945,0.0002356982,0.000141158,0.00009952005,0.000008613034,0.000004902731,0.0001169953,0.00001630601,0.001882461],"genre_scores_gemma":[0.9970661,0.000370952,0.0002950554,0.00008197573,0.000009054313,0.00001293603,0.0001833126,0.000007052117,0.001973585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2913973,"threshold_uncertainty_score":0.5794024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305674904175864,"score_gpt":0.2417271082587229,"score_spread":0.2286703592169643,"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."}}