{"id":"W4319342859","doi":"10.1371/journal.pclm.0000103","title":"Understanding perceptions of climate vulnerability to inform more effective adaptation in coastal communities","year":2023,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nature Conservancy of Canada; University of Victoria","funders":"University of Washington","keywords":"Vulnerability (computing); Climate change; Adaptive capacity; Perception; Environmental resource management; Social vulnerability; Vulnerability assessment; Adaptation (eye); Geography; Environmental planning; Psychological resilience; Psychology; Ecology; Social psychology; Environmental science; Computer security; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001442606,0.0001106109,0.000212673,0.0003567776,0.0008736012,0.00005837778,0.0002470392,0.00009128688,0.0004529308],"category_scores_gemma":[0.0002200341,0.0001209638,0.00006449804,0.001118978,0.0002819565,0.0003278002,0.0002197503,0.0001906584,0.0001810954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003802287,"about_ca_system_score_gemma":0.00002986074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002327043,"about_ca_topic_score_gemma":0.0938622,"domain_scores_codex":[0.9983936,0.0004297699,0.0003396527,0.0001214673,0.0003259822,0.0003895168],"domain_scores_gemma":[0.9987276,0.0006495236,0.0001034558,0.0003080522,0.000122364,0.00008902287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001339009,0.0002145858,0.1835048,0.000253935,0.00001643563,9.502239e-7,0.7881691,0.001280305,0.001234846,0.0180441,0.00007479418,0.007072303],"study_design_scores_gemma":[0.0003248773,0.0000681341,0.3119816,0.0001963902,0.0000133435,2.178749e-7,0.6803455,0.005731792,0.00002109171,0.0008336935,0.0003198824,0.0001634937],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717182,0.000004279342,0.0001164333,0.001838957,0.00009035247,0.0007009372,0.0002224513,0.0002011054,0.02510728],"genre_scores_gemma":[0.9962185,0.003036826,0.0001281741,0.0001040396,0.00002804446,0.0001552597,0.0002884584,0.00001391889,0.00002680538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1284769,"threshold_uncertainty_score":0.9226725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5815427734497248,"score_gpt":0.4610438652788077,"score_spread":0.1204989081709171,"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."}}