{"id":"W2177983665","doi":"10.2193/0022-541x(2005)069[0561:shogsg]2.0.co;2","title":"SPATIOTEMPORAL HETEROGENEITY OF GREATER SNOW GOOSE HARVEST AND IMPLICATIONS FOR HUNTING REGULATIONS","year":2005,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"U.S. Fish and Wildlife Service; Arctic Goose Joint Venture","keywords":"Flyway; Hunting season; Geography; Snow; Goose; Population; Distribution (mathematics); Habitat; Waterfowl; Ecology; Fishery; Physical geography; Biology; Demography; Meteorology","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":[0.001035532,0.000111756,0.000282905,0.0009278454,0.0005270663,0.0007976764,0.0004983133,0.0002460425,0.001307584],"category_scores_gemma":[0.00319656,0.0001298411,0.0003133881,0.001588136,0.0007396981,0.0004093918,0.0003574326,0.0002357754,0.00007953683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051878,"about_ca_system_score_gemma":0.001323484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5003275,"about_ca_topic_score_gemma":0.6741263,"domain_scores_codex":[0.9994585,0.0001240141,0.00004027638,0.0001939443,0.00006292843,0.0001203666],"domain_scores_gemma":[0.9976306,0.0005626861,0.000908135,0.0002323712,0.0004452258,0.0002208903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003277326,0.000007823725,0.9958324,0.000008940609,0.00006200085,0.00004721713,0.0003401792,0.0003019818,0.0009251537,0.0000687704,0.0001420388,0.002230674],"study_design_scores_gemma":[3.077247e-7,0.000002477562,0.9995043,0.000002070922,0.000003771287,0.000008347844,0.0001869155,0.0002020321,0.00001196281,0.00001591991,0.0000602039,0.000001567805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979699,0.0001773427,0.0003175612,0.0001347567,0.00000255509,0.000007229151,0.0005582602,0.000007307178,0.0008250236],"genre_scores_gemma":[0.9995155,0.00004442565,0.00008673975,0.00002598757,0.000002002548,0.000003792833,0.0002180127,0.000003019,0.0001004314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5003275,"threshold_uncertainty_score":0.9948306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413016820487183,"score_gpt":0.2724525244326703,"score_spread":0.2483223562277985,"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."}}