{"id":"W2487101960","doi":"10.1002/wsb.618","title":"A population model for management of Atlantic flyway resident population Canada geese","year":2016,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flyway; Culling; Geography; Population; Nest (protein structural motif); Population model; Branta; Wildlife management; Wildlife; Population growth; Wildlife refuge; Leslie matrix; Ecology; Goose; Fishery; Biology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001959036,0.0001040702,0.0001324653,0.000006098259,0.0001300617,0.000003942371,0.0001292625,0.00007860674,0.0009507016],"category_scores_gemma":[0.00001064535,0.00008047446,0.0001006153,0.0000525678,0.00005318666,0.00004369588,0.00008263664,0.00003828666,0.00003765227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828824,"about_ca_system_score_gemma":0.00001301492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06570811,"about_ca_topic_score_gemma":0.0707664,"domain_scores_codex":[0.9990225,0.0000221855,0.0002457047,0.0002431899,0.0002369936,0.0002294442],"domain_scores_gemma":[0.9995946,0.00003602643,0.0001256777,0.0001797726,0.000008221508,0.00005572374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002212418,0.00003507172,0.8465986,0.00002579485,0.00001822204,0.000001165331,0.00007986322,0.001397783,0.0001102681,0.00009563081,0.150445,0.001170395],"study_design_scores_gemma":[0.0005327814,0.00002190401,0.9924269,0.00003730372,0.00005003548,9.747799e-7,0.00007645282,0.001615204,0.00002542358,0.000295268,0.00477993,0.000137849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898756,0.000006982335,0.0046375,0.004845405,0.00008452338,0.0004060901,0.000023361,0.00002019033,0.0001003757],"genre_scores_gemma":[0.9882008,0.00001869041,0.005791308,0.0006719859,0.00002130102,0.00007778707,0.00003055445,0.00001274392,0.005174843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1458282,"threshold_uncertainty_score":0.9999626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009494428953741,"score_gpt":0.2180471836426751,"score_spread":0.2085527546889341,"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."}}