{"id":"W2187951339","doi":"10.5751/es-07467-200224","title":"Navigating the adaptive cycle: an approach to managing the resilience of social systems","year":2015,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":263,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Verkehr, Innovation und Technologie","keywords":"Resilience (materials science); Environmental resource management; Adaptive management; Socio-ecological system; Psychological resilience; Adaptive capacity; Social system; Ecology; Geography; Sociology; Environmental ethics; Computer science; Climate change; Environmental science; Biology; Social science; Psychology; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009078504,0.00005687277,0.00009471716,0.000001187805,0.0004344651,0.00001899276,0.0002158622,0.00005615663,0.000007695492],"category_scores_gemma":[0.00000616741,0.00002957821,0.00002680121,0.00009468838,0.00009214184,0.0001010605,0.0001549804,0.0001286428,0.00001397156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003254872,"about_ca_system_score_gemma":0.00000755703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005565645,"about_ca_topic_score_gemma":0.0002125695,"domain_scores_codex":[0.9993538,0.0001287553,0.0001132833,0.0001467134,0.0001069823,0.0001504546],"domain_scores_gemma":[0.9997173,0.00005779154,0.00006612191,0.000106116,0.00000760549,0.00004505656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000668275,0.0002438187,0.4339354,0.0001077389,0.0001542726,0.000002627905,0.4680794,0.07499394,0.0002600909,0.007320295,0.01094837,0.003887247],"study_design_scores_gemma":[0.0004168517,0.0001916319,0.5823475,0.00001851295,0.00004272598,0.00001992214,0.1908122,0.2232851,0.00003709419,0.001250652,0.001360631,0.0002171859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993863,0.00004214386,0.0001054254,0.0006239605,0.00008726882,0.0001678516,0.000002141478,0.000009999389,0.005098182],"genre_scores_gemma":[0.9992921,0.000004720609,0.0001941793,0.000395735,0.00005985177,0.00002319171,0.000001018076,0.000003216773,0.00002603545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2772672,"threshold_uncertainty_score":0.3341598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642487372527036,"score_gpt":0.2449607724148778,"score_spread":0.2285358986896074,"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."}}