{"id":"W4417024227","doi":"10.1002/jav.03487","title":"Power source, data retrieval method, and attachment type affect success of dorsally mounted tracking tag deployments in 37 species of shorebirds","year":2025,"lang":"en","type":"article","venue":"Journal of Avian Biology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Simon Fraser University; Université de Moncton; Ministry of Natural Resources and Forestry; University of Saskatchewan; Acadia University; Université du Québec à Rimouski; Birds Canada; Environment and Climate Change Canada","funders":"U.S. Bureau of Land Management; National Park Service; Colorado Parks and Wildlife; Natural England; U.S. Forest Service; ArcticNet; U.S. Department of Defense","keywords":"BitTorrent tracker; Tracking (education); Statistical power; Software deployment; Duration (music); Eye tracking","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":[0.001540448,0.000309088,0.0002906204,0.0006158847,0.0004015329,0.0007166533,0.0002771211,0.0003572164,0.0008649519],"category_scores_gemma":[0.003721463,0.0002746423,0.0004661095,0.00040821,0.0007053482,0.0004880929,0.0007543766,0.0002589955,0.0002252445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339613,"about_ca_system_score_gemma":0.0001397314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005312384,"about_ca_topic_score_gemma":0.01630444,"domain_scores_codex":[0.999023,0.0002908008,0.00009213405,0.0003410963,0.0001482357,0.0001046935],"domain_scores_gemma":[0.9957544,0.00180051,0.001348939,0.0003573531,0.0004266009,0.0003122503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002017046,0.00005222927,0.9873903,0.00003294348,0.0001177382,0.00007659267,0.001224757,0.0003218242,0.005143623,0.00002344351,0.0000710549,0.005343727],"study_design_scores_gemma":[0.000001948605,0.0001195319,0.9987009,0.000003229104,0.00002688666,0.00004604267,0.0004515658,0.0001993077,0.0003305034,0.000008418597,0.0001073961,0.000004374322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996514,0.00003893821,0.00009827153,0.000003157755,0.0000013716,0.000006815907,0.00006810784,0.000002166499,0.0001296635],"genre_scores_gemma":[0.9991393,0.00003752354,0.0004458968,0.000008905798,0.000001637907,0.00001747023,0.0001784926,0.000006862409,0.0001638842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005312384,"threshold_uncertainty_score":0.0105629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893465053296975,"score_gpt":0.3541217042289607,"score_spread":0.3251870536959909,"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."}}