{"id":"W2341915044","doi":"","title":"Optimal Control of Atlantic Population Canada Geese","year":2005,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Waterfowl; Population; Branta; Goose; Range (aeronautics); Productivity; Nuisance; Population growth; Anatidae; Population size; Ecology; Population model; Geography; Fishery; Biology; Habitat; Demography; Economics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006129334,0.0004890952,0.0005548692,0.0003316446,0.0006020843,0.001509761,0.000783895,0.0006665771,0.001898845],"category_scores_gemma":[0.002182793,0.0003573367,0.0002554228,0.0002333789,0.0009501377,0.0003986071,0.0006232392,0.0005093487,0.0001104682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004158143,"about_ca_system_score_gemma":0.003970467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5200755,"about_ca_topic_score_gemma":0.4145304,"domain_scores_codex":[0.9996724,0.00005824234,0.000008080054,0.00004933215,0.00005483695,0.0001571202],"domain_scores_gemma":[0.9992307,0.0003239338,0.0001010351,0.00003403006,0.0001866079,0.0001236881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000433332,0.0001633555,0.00589671,0.00006358942,0.0001173669,0.0001038871,0.0002565104,0.9241468,0.01151028,0.03360226,0.002942897,0.02076307],"study_design_scores_gemma":[0.0000564444,0.00007801021,0.005321096,0.000006372514,0.00002012082,0.00000815529,0.0001207051,0.9866487,0.0005080902,0.006458509,0.0007590707,0.00001472678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9340183,0.0006837507,0.04380047,0.001189328,0.00007333402,0.00004892698,0.0001583675,0.00007566428,0.01995191],"genre_scores_gemma":[0.9957814,0.0001024848,0.0009115794,0.0000324662,0.000009794388,0.000009786966,0.00002508731,0.000008110462,0.003119099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4799245,"threshold_uncertainty_score":0.9655017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268380887947952,"score_gpt":0.2702569150357426,"score_spread":0.2575731061562631,"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."}}