{"id":"W2099876591","doi":"10.1111/cobi.12076","title":"A Protocol for Better Design, Application, and Communication of Population Viability Analyses","year":2013,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Fisheries and Oceans Canada","funders":"","keywords":"Comparability; Protocol (science); Workflow; Computer science; Population; Management science; Operations research; Risk analysis (engineering); Environmental resource management; Engineering; Environmental science; Business; Medicine; Mathematics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2121644,0.002408995,0.002921406,0.008512248,0.006164676,0.00831145,0.004773994,0.009632483,0.1381149],"category_scores_gemma":[0.3650012,0.003828866,0.003083929,0.005968196,0.005682886,0.008068137,0.01066709,0.01458959,0.07994173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009134735,"about_ca_system_score_gemma":0.04627161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004083834,"about_ca_topic_score_gemma":0.006306238,"domain_scores_codex":[0.817591,0.1142626,0.03506649,0.009052617,0.01959951,0.004427717],"domain_scores_gemma":[0.5009665,0.2387581,0.01709474,0.08903049,0.1456533,0.008496772],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001861315,0.001172889,0.001553678,0.008757673,0.0001422701,0.001484257,0.01505153,0.002183478,0.00859943,0.05614306,0.6207374,0.282313],"study_design_scores_gemma":[0.0006840916,0.0004921754,0.001602349,0.006287274,0.00007114116,0.0002990345,0.001876003,0.001979809,0.004418803,0.02154105,0.960431,0.0003173857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00457291,0.001352889,0.5774673,0.01576351,0.006286397,0.2881938,0.02707277,0.01752553,0.06176487],"genre_scores_gemma":[0.008491815,0.001173769,0.4248217,0.007654855,0.000633531,0.5225685,0.008946109,0.002166956,0.02354276],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7878355,"threshold_uncertainty_score":0.9715415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1451034403512885,"score_gpt":0.3833293158134938,"score_spread":0.2382258754622054,"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."}}