{"id":"W1997497157","doi":"10.1007/s00267-004-0095-9","title":"Measuring and Incorporating Vulnerability into Conservation Planning","year":2005,"lang":"en","type":"review","venue":"Environmental Management","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":306,"is_retracted":false,"has_abstract":false,"ca_institutions":"Department of Environment and Conservation","funders":"University of Melbourne","keywords":"Vulnerability (computing); Vulnerability assessment; Environmental resource management; Environmental planning; Nature Conservation; Biodiversity; Biodiversity conservation; Categorization; Risk analysis (engineering); Geography; Computer science; Business; Ecology; Environmental science; Psychological resilience; Psychology; Biology; Computer security","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":[0.00343712,0.00147458,0.00247963,0.005599714,0.0004237743,0.001790254,0.001586522,0.001394912,0.002564503],"category_scores_gemma":[0.00836147,0.000513132,0.0005959416,0.00982909,0.001136521,0.003214759,0.000932191,0.001152429,0.0006779889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183379,"about_ca_system_score_gemma":0.004576461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01566089,"about_ca_topic_score_gemma":0.0350665,"domain_scores_codex":[0.9990966,0.0002272195,0.0001235189,0.0001154537,0.0004038457,0.0000333112],"domain_scores_gemma":[0.9953375,0.002948639,0.0004681694,0.0001270574,0.001036332,0.00008229584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001313472,0.00002451542,0.000598472,0.009281696,0.0001214239,0.00004397396,0.00009280594,0.001794308,0.0001712923,0.005777419,0.01195549,0.9701256],"study_design_scores_gemma":[0.00002549052,0.00008437312,0.006342918,0.03123906,0.0009066416,0.0007179496,0.0005459883,0.001406054,0.000732886,0.0333873,0.9245198,0.00009157201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003878049,0.9931737,0.002585466,0.001160405,0.0003228995,0.00002698766,0.00009555428,0.00002831672,0.002218865],"genre_scores_gemma":[0.002509107,0.9932221,0.003310814,0.0001990736,0.00009425355,0.00002219822,0.00005179836,0.000004324769,0.0005863816],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01566089,"threshold_uncertainty_score":0.03113943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0859053296322269,"score_gpt":0.2947057653857615,"score_spread":0.2088004357535346,"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."}}