{"id":"W3145881480","doi":"10.1002/jwmg.22037","title":"An Integrated Population Model for Harvest Management of Atlantic Brant","year":2021,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Women's Health Network; Canadian Wildlife Federation","funders":"","keywords":"Productivity; Abundance (ecology); Flyway; Population; Geography; Hunting season; Population model; Survey data collection; Waterfowl; Fishery; Vital rates; Ecology; Population growth; Biology; Habitat; Demography; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001362414,0.0008409258,0.000984174,0.0009075078,0.0005509891,0.001483061,0.002302451,0.001239088,0.005963301],"category_scores_gemma":[0.002523315,0.0006184605,0.001194976,0.0008880029,0.0005597285,0.001143176,0.001009139,0.001295501,0.0006889559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293017,"about_ca_system_score_gemma":0.001595312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06799165,"about_ca_topic_score_gemma":0.04454254,"domain_scores_codex":[0.9995636,0.0001026281,0.00002250922,0.0001642544,0.00005415028,0.00009290249],"domain_scores_gemma":[0.999321,0.0002627259,0.0001408188,0.00003115198,0.0001798544,0.00006448298],"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":[0.0000352339,0.00002812775,0.007190483,0.00001295785,0.00005189436,0.00006593109,0.00003717235,0.9848066,0.0001796515,0.003338666,0.0005869222,0.003666438],"study_design_scores_gemma":[0.000008792043,0.00001033044,0.0006936208,0.000003458943,0.00001163103,0.000008425885,0.00001015126,0.9981109,0.00001263178,0.0009428488,0.0001824578,0.000004724587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4222759,0.000481233,0.553107,0.001527988,0.0002107647,0.0002314144,0.003924046,0.0008287288,0.01741289],"genre_scores_gemma":[0.9633737,0.0001687767,0.02108327,0.000154064,0.00007465802,0.0003682123,0.001717275,0.00006817127,0.01299193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06799165,"threshold_uncertainty_score":0.1351918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812251998710915,"score_gpt":0.2628745432996691,"score_spread":0.2447520233125599,"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."}}