{"id":"W2113963191","doi":"10.1002/jwmg.418","title":"Range‐wide analysis of eastern massasauga survivorship","year":2012,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Parks Canada","funders":"","keywords":"Wildlife; Vital rates; Metapopulation; Range (aeronautics); Survivorship curve; Geography; Population; Wildlife management; Wildlife refuge; Ecology; Wildlife conservation; Population viability analysis; Population growth; Biology; Habitat; Demography; Biological dispersal; Endangered species","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":[0.0005671387,0.0001537491,0.0001954194,0.0009710861,0.0002124943,0.0003470992,0.0002049578,0.0001455897,0.0006411737],"category_scores_gemma":[0.001264196,0.000103869,0.0002866214,0.0007570646,0.0001835821,0.0002423026,0.0003027404,0.0001729598,0.000120573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180335,"about_ca_system_score_gemma":0.00009760802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031601,"about_ca_topic_score_gemma":0.01921595,"domain_scores_codex":[0.9998302,0.00006017324,0.00001422575,0.0000552284,0.00002560345,0.0000145516],"domain_scores_gemma":[0.9991517,0.0003164251,0.0002113107,0.0001120941,0.000116029,0.00009241082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005567947,0.00002052892,0.9933422,0.00001012972,0.0001405073,0.00004619002,0.0001785439,0.001046226,0.00160219,0.00006281693,0.0001521856,0.003342803],"study_design_scores_gemma":[0.000001964912,0.00003084058,0.9965304,0.000002380355,0.00002696438,0.00006679976,0.0001220894,0.002904523,0.0001386436,0.00002942958,0.0001426802,0.000003226812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993869,0.00002498093,0.0001786658,0.000008584198,7.256962e-7,0.000001778671,0.0002618949,0.000006629249,0.0001298233],"genre_scores_gemma":[0.9990456,0.00001538378,0.0001651449,0.00000366862,0.000002103349,0.000004649279,0.0007081246,0.000001528753,0.0000536545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031601,"threshold_uncertainty_score":0.02051193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560601620798364,"score_gpt":0.233186533890255,"score_spread":0.2175805176822713,"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."}}