{"id":"W2462766172","doi":"10.5751/es-08327-210253","title":"Resilience of small-scale societies: a view from drylands","year":2016,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; Institució Catalana de Recerca i Estudis Avançats; Deutsche Forschungsgemeinschaft; European Commission; Alexander von Humboldt-Stiftung","keywords":"Resilience (materials science); Scale (ratio); Geography; Environmental resource management; Environmental ethics; Ecology; Psychological resilience; Biology; Cartography; Environmental science; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005480014,0.0004654468,0.0004809457,0.002529831,0.001121118,0.002540658,0.0004344406,0.0009989362,0.002267382],"category_scores_gemma":[0.001068481,0.0002588491,0.0003421156,0.0009356901,0.007257915,0.005260189,0.003134138,0.001577874,0.0001916963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254058,"about_ca_system_score_gemma":0.0004191444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004159519,"about_ca_topic_score_gemma":0.005135095,"domain_scores_codex":[0.999842,0.00004122932,0.000008282622,0.00004038093,0.00002838383,0.00003975158],"domain_scores_gemma":[0.9994066,0.0001890536,0.0001158823,0.00009280271,0.00006866507,0.0001269887],"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":[0.0001845014,0.00007197815,0.02199618,0.0008157884,0.0003097646,0.001139841,0.01685134,0.006499361,0.00457357,0.7868482,0.01061496,0.1500946],"study_design_scores_gemma":[0.00002159825,0.0001029425,0.04932303,0.0005272846,0.00008000661,0.0007730303,0.007459748,0.001884871,0.0004587832,0.8813849,0.05792841,0.00005541954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5774432,0.1488919,0.02855959,0.1368184,0.0008301876,0.00005388571,0.001300664,0.0001518354,0.1059504],"genre_scores_gemma":[0.9821973,0.01427968,0.0009634389,0.001220176,0.0002622081,0.00001548032,0.00007014775,0.00001156138,0.0009800586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004159519,"threshold_uncertainty_score":0.009098828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00582774998082332,"score_gpt":0.1975273560451786,"score_spread":0.1916996060643553,"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."}}