{"id":"W2606434939","doi":"10.1002/aqc.2761","title":"Exploring uncertainty in population viability analysis and its implications for the conservation of a freshwater fish","year":2017,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; Fisheries and Oceans Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metapopulation; Population viability analysis; Extinction (optical mineralogy); Habitat; Abundance (ecology); Biodiversity; Ecology; Habitat destruction; Occupancy; Population; Threatened species; Environmental science; Umbrella species; Environmental resource management; Geography; Biology; Endangered species","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005798443,0.0003372483,0.0004324836,0.0007891024,0.0003556471,0.001364854,0.0007858609,0.0005199106,0.0009663265],"category_scores_gemma":[0.01710942,0.0002821406,0.0005986882,0.0005036713,0.0007978851,0.001182809,0.001102424,0.0006864386,0.00004411719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141049,"about_ca_system_score_gemma":0.0007334631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007347766,"about_ca_topic_score_gemma":0.008854466,"domain_scores_codex":[0.9983991,0.001174094,0.00005282857,0.0001692461,0.000139982,0.00006473939],"domain_scores_gemma":[0.9850381,0.01303098,0.0009638856,0.0004489909,0.000377375,0.0001407168],"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":[0.00008154929,0.00003261055,0.04522925,0.00003631973,0.0001578453,0.0001459039,0.0001037738,0.9353233,0.0008594873,0.008997128,0.0001350129,0.008897932],"study_design_scores_gemma":[0.00000629593,0.00007190592,0.006804298,0.00001964151,0.0000359655,0.00005391837,0.0001081367,0.9822924,0.0004245945,0.009933093,0.0002322919,0.00001751779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8686656,0.0002427533,0.1276374,0.0006403385,0.00001843888,0.00003571737,0.000221564,0.00008589046,0.002452291],"genre_scores_gemma":[0.9936703,0.00002525826,0.006134562,0.0000164014,0.000002633211,0.00001009708,0.00002701782,0.000004178703,0.000109591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007347766,"threshold_uncertainty_score":0.03066546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06689858156815026,"score_gpt":0.2605288366681255,"score_spread":0.1936302550999753,"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."}}