{"id":"W4312190727","doi":"10.1139/cjz-2022-0085","title":"Applying technical guidance from the USA for management of impacts of anthropogenic noise on wildlife in other countries: the Canadian context","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Context (archaeology); Wildlife; Warrant; Technical standard; Environmental resource management; Marine mammal; Precautionary principle; Environmental impact assessment; Environmental planning; Service (business); Impact assessment; Business; Ecology; Biology; Computer science; Geography; Environmental science; Political science; Marketing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02672982,0.001242729,0.0009892946,0.01475515,0.007938707,0.007152318,0.005831476,0.002414993,0.01137404],"category_scores_gemma":[0.06665289,0.001039818,0.002277518,0.02143606,0.002453644,0.002996898,0.003774637,0.003571505,0.002509774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07111157,"about_ca_system_score_gemma":0.3717424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952969,"about_ca_topic_score_gemma":0.9967737,"domain_scores_codex":[0.9659818,0.003171024,0.00310523,0.0018603,0.02191524,0.003966506],"domain_scores_gemma":[0.8487067,0.00926578,0.004051984,0.004120839,0.1290683,0.004786436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006010224,0.00007738823,0.04160279,0.001612984,0.0001529516,0.0003401269,0.003098245,0.002510845,0.0009944976,0.0229176,0.8087087,0.1179238],"study_design_scores_gemma":[0.00002954225,0.00003550559,0.1575903,0.003366508,0.0001553052,0.0001176941,0.0035498,0.001497244,0.000798158,0.003536929,0.8290343,0.0002885806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02923158,0.0135293,0.04446959,0.09330296,0.004680768,0.007072553,0.3414057,0.002153571,0.464154],"genre_scores_gemma":[0.1952412,0.03699653,0.2884557,0.06091637,0.0009269535,0.007957117,0.2512063,0.001610411,0.1566895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07111157,"threshold_uncertainty_score":0.5159529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190631221457204,"score_gpt":0.2544426939262728,"score_spread":0.2325363817117007,"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."}}