{"id":"W4319942542","doi":"10.1007/s10113-023-02033-2","title":"Vulnerability and loss and damage following the COP27 of the UN Framework Convention on Climate Change","year":2023,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Vulnerability (computing); Climate change; Context (archaeology); Loss and damage; Convention; Political science; Climate justice; Disaster risk reduction; United Nations Framework Convention on Climate Change; Development economics; Environmental resource management; Economics; Geography; Kyoto Protocol; Law","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":[0.007268322,0.0001966212,0.0003367206,0.001194384,0.002160204,0.003619103,0.0006245089,0.001433998,0.005516354],"category_scores_gemma":[0.02077185,0.0001213782,0.0003432558,0.001775143,0.004820082,0.002680499,0.0070749,0.002802209,0.0003070242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005082219,"about_ca_system_score_gemma":0.002734825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01752239,"about_ca_topic_score_gemma":0.01920411,"domain_scores_codex":[0.9937581,0.00245804,0.0002269181,0.0002976707,0.001647089,0.001612194],"domain_scores_gemma":[0.9923538,0.002662336,0.002055491,0.000491208,0.001717244,0.0007198512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000843258,0.0001424088,0.1109474,0.0003357884,0.0001946885,0.001621083,0.04131643,0.01467207,0.001283727,0.6753954,0.05851384,0.09473395],"study_design_scores_gemma":[0.00003290929,0.0004829211,0.3962784,0.001027927,0.00009383107,0.0009402075,0.07931639,0.007905921,0.001956047,0.3333179,0.1783768,0.0002706994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7100544,0.002677509,0.004661488,0.04399636,0.0005113697,0.0001115617,0.001626095,0.00003037431,0.2363309],"genre_scores_gemma":[0.9959966,0.00040999,0.0002636224,0.0004071347,0.00009123648,0.00003484068,0.0001417594,0.000009490509,0.002645462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01752239,"threshold_uncertainty_score":0.03843904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571275233451126,"score_gpt":0.3238852770985758,"score_spread":0.1667577537534632,"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."}}