{"id":"W4388687234","doi":"10.1002/ece3.10716","title":"First‐ever satellite tracking of Black Terns (<i>Chlidonias niger</i>): Insights into home range and habitat selection","year":2023,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Home range; Habitat; Satellite tracking; Selection (genetic algorithm); Geography; Recreation; Range (aeronautics); Wetland; Ecology; Fishery; Environmental resource management; Environmental science; Satellite; Biology; Computer science","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":[0.0001272482,0.0001002933,0.00009903971,0.0004825072,0.0001771249,0.0002145786,0.00009863153,0.0001246555,0.000683689],"category_scores_gemma":[0.0001938733,0.00007562494,0.00006751288,0.0002374641,0.0001466809,0.0001457341,0.0001691012,0.0001007695,0.0001195566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714961,"about_ca_system_score_gemma":0.00009864657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007253134,"about_ca_topic_score_gemma":0.0306176,"domain_scores_codex":[0.9999646,0.000007255083,0.000002542411,0.00001191529,0.00000559064,0.000008172621],"domain_scores_gemma":[0.999838,0.00002518704,0.00006939638,0.000008124264,0.00002386028,0.00003541318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004355023,0.00002432694,0.9809724,0.00001589164,0.00001092303,0.0000702413,0.0003403653,0.0001058301,0.0121004,0.00001938924,0.00008297185,0.006213635],"study_design_scores_gemma":[8.235966e-7,0.00002783595,0.9989738,0.00000466504,0.000003648282,0.00006667316,0.0002911048,0.0002238601,0.0002792789,0.00001102142,0.0001156935,0.00000151831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993775,0.00003392013,0.0001018447,0.00001003916,9.653126e-7,0.000002738269,0.0001184818,0.000002426629,0.0003521739],"genre_scores_gemma":[0.9991998,0.00004745073,0.0003735515,0.00001351705,0.000001380761,0.000005380527,0.0001293539,0.000001099548,0.0002284426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007253134,"threshold_uncertainty_score":0.01442182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009655470437563932,"score_gpt":0.2191208343507345,"score_spread":0.2094653639131706,"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."}}