{"id":"W2969612705","doi":"10.5751/es-11044-240316","title":"Measuring social-ecological resilience reveals opportunities for transforming environmental governance","year":2019,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Hakai Institute","keywords":"Resilience (materials science); Corporate governance; Environmental governance; Environmental resource management; Psychological resilience; Ecological systems theory; Ecology; Environmental planning; Business; Political science; Geography; Environmental science; Biology; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.005804653,0.0004829208,0.0003680142,0.002640839,0.0008649939,0.002054396,0.0004490784,0.0005627093,0.002733552],"category_scores_gemma":[0.01948918,0.0002058073,0.0004954309,0.002035763,0.001657827,0.004030161,0.004294057,0.001044723,0.0003067775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216777,"about_ca_system_score_gemma":0.00101921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096826,"about_ca_topic_score_gemma":0.007131139,"domain_scores_codex":[0.9966574,0.001787141,0.0001607611,0.000405852,0.0006942911,0.0002945454],"domain_scores_gemma":[0.9914408,0.002964514,0.002359572,0.001425409,0.001078478,0.0007313287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001974973,0.0002234987,0.7560596,0.0001954092,0.0008813637,0.00009631335,0.003416626,0.01046463,0.003862119,0.04679094,0.003935779,0.1738763],"study_design_scores_gemma":[0.00001556785,0.0003887199,0.8137934,0.0001822881,0.000233204,0.0001379729,0.006337961,0.01497245,0.002633968,0.1505897,0.01062843,0.00008648189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554593,0.0006904136,0.0178956,0.002637407,0.00005827941,0.00005902243,0.0007372599,0.0001023322,0.02236028],"genre_scores_gemma":[0.9973612,0.00009516713,0.002154679,0.00004818183,0.000006105552,0.00001746064,0.0001400898,0.000006272674,0.000170875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005804653,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561646062850393,"score_gpt":0.2521644341432048,"score_spread":0.2165479735147008,"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."}}