{"id":"W3148227404","doi":"10.1093/conphys/coab002","title":"Exploiting common senses: sensory ecology meets wildlife conservation and management","year":2021,"lang":"en","type":"article","venue":"Conservation Physiology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Great Lakes Fishery Commission","keywords":"Endangered species; Wildlife conservation; Ecology; Wildlife; Biology; Wildlife management; Conservation biology; Environmental resource management; Sensory system; Environmental planning; Geography; Neuroscience; Habitat","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":[0.0009066478,0.0004727424,0.0005160789,0.001445856,0.0009169019,0.003281541,0.0005497037,0.001704351,0.005767862],"category_scores_gemma":[0.0007153653,0.000148509,0.0003373383,0.001163034,0.003950884,0.004766908,0.002280948,0.001606224,0.0006778493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009161579,"about_ca_system_score_gemma":0.001160134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001805544,"about_ca_topic_score_gemma":0.003170096,"domain_scores_codex":[0.9996408,0.0001280853,0.00002001311,0.00006195094,0.00008142645,0.00006772582],"domain_scores_gemma":[0.9995921,0.0001777047,0.00005813356,0.00002693328,0.00006957105,0.00007548079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009733815,0.0000909006,0.003851669,0.004377446,0.0001112621,0.0006823517,0.00343776,0.0006008155,0.008202266,0.1914335,0.02491944,0.7621952],"study_design_scores_gemma":[0.000008915134,0.0002962889,0.01906944,0.003819172,0.00008289315,0.002821951,0.00677368,0.0003751502,0.001464714,0.2157084,0.749509,0.00007039862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01542908,0.8168285,0.01317449,0.03511737,0.001790126,0.00003655971,0.00009728731,0.00009255851,0.1174341],"genre_scores_gemma":[0.2038268,0.7570401,0.01115321,0.006718522,0.002728915,0.00006443839,0.0000786032,0.00003201488,0.01835752],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005767862,"threshold_uncertainty_score":0.01929539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041233483184183,"score_gpt":0.2505706077921017,"score_spread":0.2201582729602598,"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."}}