{"id":"W1979340468","doi":"10.5751/es-05927-180237","title":"Can Law Foster Social-Ecological Resilience?","year":2013,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service; University of Nebraska-Lincoln; U.S. Environmental Protection Agency","keywords":"Resilience (materials science); Psychological resilience; Ecological resilience; Natural resource; Ecological systems theory; Balance of nature; Socio-ecological system; Resource (disambiguation); Environmental resource management; Psychological intervention; Adaptive management; Natural (archaeology); Ecology; Political science; Law; Economics; Computer science; Geography; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001173473,0.00007388117,0.000109143,0.000003908133,0.0005043778,0.00001539027,0.00009549982,0.0002076051,0.008548059],"category_scores_gemma":[0.00001438445,0.00006088569,0.00005991842,0.00005427796,0.001010478,0.00009941327,0.0001321755,0.0001362089,0.0005185718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003394949,"about_ca_system_score_gemma":0.000006887573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002179367,"about_ca_topic_score_gemma":0.0007329062,"domain_scores_codex":[0.9993713,0.00005601712,0.0001066552,0.0002016808,0.00005277845,0.0002115863],"domain_scores_gemma":[0.9997659,0.00007028713,0.00003460726,0.00006866924,0.00000709673,0.00005349045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001862401,0.000061495,0.772597,0.000002172876,0.00002158941,0.000001955533,0.00162452,0.000004157268,0.0005300769,0.006485661,0.2180662,0.000603251],"study_design_scores_gemma":[0.0001542236,0.00003496931,0.9841396,2.918559e-7,0.00001114071,0.000004583806,0.0007158762,0.0001230453,0.00003962858,0.007570658,0.007126228,0.00007971416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573073,0.000008815235,0.000006466623,0.02234264,0.0000533409,0.00009069583,8.853295e-7,0.00003000514,0.02015985],"genre_scores_gemma":[0.955361,0.00001522647,0.0002430649,0.04208761,0.00002331127,0.00003278645,0.00000276602,0.000002656382,0.002231582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2115426,"threshold_uncertainty_score":0.9923583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416054984695787,"score_gpt":0.2491252839641155,"score_spread":0.2249647341171576,"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."}}