{"id":"W2096961629","doi":"10.1890/08-1699.1","title":"Assessing threats to species at risk using stage‐structured state–space models: mortality trends in skate populations","year":2009,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Dalhousie University; Fisheries and Oceans Canada","funders":"","keywords":"Bycatch; Threatened species; Population; Endangered species; Vital rates; Population model; Abundance (ecology); Ecology; Biology; Fishery; Geography; Fishing; Population growth; Habitat; Demography","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":[0.0002120681,0.0001371873,0.0001711852,0.00007712097,0.0003977861,0.0001017629,0.0002461928,0.00007554927,0.006727812],"category_scores_gemma":[0.00002484701,0.0001171625,0.00005026143,0.0009009341,0.0001173229,0.0003098712,0.0002770799,0.0002004196,0.00006099777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000482154,"about_ca_system_score_gemma":0.000009350011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006543053,"about_ca_topic_score_gemma":0.005810162,"domain_scores_codex":[0.9985783,0.00007600938,0.0002648742,0.0004414592,0.0002629458,0.0003764599],"domain_scores_gemma":[0.9993457,0.00003936929,0.00007823915,0.0003551083,0.00001185268,0.0001697291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001538297,0.0003122745,0.7215332,0.00000221343,0.000006412638,0.000007011844,0.0002558721,0.1932814,0.001797356,0.002625666,0.0002887471,0.07987443],"study_design_scores_gemma":[0.0001083076,0.00003423028,0.9465448,6.561456e-7,0.000005924767,0.000001054973,0.00007437979,0.02322648,0.00004390715,0.02567181,0.004144995,0.0001434478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115655,0.000004316877,0.01325416,0.0006318128,0.00001299526,0.0003943198,0.00004369508,0.00005295984,0.07404022],"genre_scores_gemma":[0.9800968,0.00001715964,0.01470439,0.000139072,0.00002270095,0.000100502,0.00004675833,0.000007028692,0.004865552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2250116,"threshold_uncertainty_score":0.9941802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1510957119552075,"score_gpt":0.3822789175624016,"score_spread":0.231183205607194,"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."}}