{"id":"W4400325389","doi":"10.1002/jwmg.22635","title":"Migration tracking assists harvest management of overabundant Canada geese in Manitoba, Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Environment and Climate Change Canada","funders":"University of Manitoba","keywords":"Branta; Geography; Population; Hunting season; Nesting season; Waterfowl; Temperate climate; Fishery; Seasonal breeder; Ecology; Habitat; Goose; Biology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0009060515,0.0004570226,0.0002547717,0.001326155,0.002141981,0.00099258,0.001521174,0.0002615594,0.001726104],"category_scores_gemma":[0.001881885,0.0002202493,0.0002248511,0.001750971,0.0004491037,0.0003455899,0.0007026993,0.0003824124,0.000342438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01055386,"about_ca_system_score_gemma":0.02666039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9873646,"about_ca_topic_score_gemma":0.9976124,"domain_scores_codex":[0.9996674,0.00005050129,0.00001525133,0.00006269165,0.00009387208,0.0001102439],"domain_scores_gemma":[0.9979727,0.0001273544,0.0002177005,0.00006408915,0.00127808,0.0003400484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001042259,0.0001150759,0.9304552,0.0001041176,0.00007278493,0.000276784,0.003082778,0.001460489,0.002797113,0.0002263216,0.007575571,0.05372961],"study_design_scores_gemma":[0.00001721298,0.00007206894,0.9691854,0.0001867674,0.00005581796,0.00006938242,0.00969109,0.008877296,0.0006881262,0.0001489047,0.01095936,0.0000486106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801595,0.00105808,0.003486053,0.001093083,0.0000622568,0.0003314053,0.004461528,0.0002000143,0.009147916],"genre_scores_gemma":[0.9775097,0.0008909263,0.01248521,0.0003657303,0.00001183874,0.0001561901,0.003017536,0.00004252245,0.00552036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01263541,"threshold_uncertainty_score":0.07657403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117083651644417,"score_gpt":0.2172304898390367,"score_spread":0.205522124674595,"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."}}