{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001474677,0.0001378597,0.0004058344,0.0003341351,0.00007395163,0.00001056409,0.0003447647,0.00004012152,0.001537354],"category_scores_gemma":[0.00004286411,0.000113648,0.0002488238,0.0006959013,0.0001170151,0.0003332002,0.000401007,0.000106397,0.0001143743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009458009,"about_ca_system_score_gemma":0.000001676294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004486911,"about_ca_topic_score_gemma":0.000272083,"domain_scores_codex":[0.9984134,0.0001111933,0.0005388273,0.0001226013,0.0004929373,0.000321071],"domain_scores_gemma":[0.9990227,0.00009213459,0.0005379518,0.0002235086,0.00001733599,0.0001063482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004080524,0.0002188434,0.8953458,0.00002537811,0.002191022,0.00001431016,0.0003191302,0.001322769,0.000002344732,0.000268196,0.0996148,0.0006366126],"study_design_scores_gemma":[0.0003588021,0.00006284653,0.9373521,0.00001216984,0.00196485,0.000001271871,0.0005548878,0.00009248752,0.000005765236,0.0001088669,0.05937974,0.0001061905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944621,0.0001161101,0.004317537,0.0044141,0.0007021507,0.000231249,0.000002951584,0.00001446225,0.09573933],"genre_scores_gemma":[0.9923386,0.0002079494,0.001271187,0.002956134,0.00006487999,0.000004771344,0.000001287088,0.000008798816,0.003146424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09787647,"threshold_uncertainty_score":0.9993754,"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."}}