{"id":"W2118588195","doi":"10.1371/journal.pone.0074321","title":"Evaluating Social and Ecological Vulnerability of Coral Reef Fisheries to Climate Change","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":257,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Australian Research Council","keywords":"Vulnerability (computing); Adaptive capacity; Coral reef; Climate change; Resilience of coral reefs; Ecology; Environmental change; Fishing; Vulnerability assessment; Geography; Environmental resource management; Fishery; Environmental science; Psychological resilience; Biology","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":[0.002074692,0.0002647389,0.0002384546,0.002175423,0.001327046,0.0009768174,0.0003211171,0.0005051926,0.002216585],"category_scores_gemma":[0.007153565,0.0002004535,0.0004072346,0.001370942,0.001161166,0.001123278,0.001628157,0.0003443328,0.00009282291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094785,"about_ca_system_score_gemma":0.0006186061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01852904,"about_ca_topic_score_gemma":0.04076866,"domain_scores_codex":[0.9990852,0.0005028573,0.00006258056,0.00006512868,0.0001182169,0.0001660309],"domain_scores_gemma":[0.9959817,0.001935555,0.001218284,0.0001727555,0.0003428926,0.0003488632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003059227,0.0000489001,0.9944477,0.00002601395,0.00007988019,0.0001126388,0.001287884,0.0007756041,0.0003326276,0.0002689193,0.00002566233,0.002563618],"study_design_scores_gemma":[0.000001317047,0.00008014537,0.9913732,0.00001064722,0.00001993736,0.00006655928,0.006288979,0.001567814,0.0001073247,0.0003453701,0.0001305349,0.000007992992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988492,0.00003209976,0.00009489399,0.00003785971,4.963384e-7,0.000009364388,0.00004713897,6.579605e-7,0.0009282338],"genre_scores_gemma":[0.9997361,0.00003846445,0.0001341464,0.000005928085,0.000001019549,0.000007988964,0.00002398078,2.650019e-7,0.00005190322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01852904,"threshold_uncertainty_score":0.03684235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2020173199460648,"score_gpt":0.3007330761622726,"score_spread":0.09871575621620782,"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."}}