{"id":"W2618654271","doi":"10.1016/j.gloenvcha.2017.05.003","title":"Catching sea cucumber fever in coastal communities: Conceptualizing the impacts of shocks versus trends on social-ecological systems","year":2017,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Echinoderm biology and ecology","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Vulnerability (computing); Climate change; Adaptive capacity; Scholarship; Psychological resilience; Ecological systems theory; Geography; Ecology; Environmental resource management; Economics; Biology; Economic growth; Psychology","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":[0.001523115,0.0002738723,0.0002484996,0.001425291,0.001038373,0.002877753,0.0009764029,0.001215802,0.001566383],"category_scores_gemma":[0.0026271,0.0002352107,0.0003306441,0.001026699,0.006091574,0.004152411,0.002352838,0.0008560218,0.00007335977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480842,"about_ca_system_score_gemma":0.001239164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0184857,"about_ca_topic_score_gemma":0.02669442,"domain_scores_codex":[0.9995636,0.0002079648,0.00001914571,0.00005561392,0.00004437211,0.0001092928],"domain_scores_gemma":[0.9986545,0.0005034275,0.0003458969,0.00006056936,0.0001305577,0.0003049326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000180608,0.0002967112,0.709138,0.0002439909,0.0002477864,0.001193704,0.03380327,0.03082135,0.004294495,0.191258,0.0008832705,0.02763897],"study_design_scores_gemma":[0.00002387957,0.0003056737,0.6607526,0.0001573163,0.0001406676,0.0005245326,0.1007193,0.06267463,0.0002940417,0.1704541,0.003875657,0.00007748479],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833722,0.0004662974,0.004649413,0.003630761,0.00002065569,0.00002164454,0.00006045739,0.000007643298,0.007770986],"genre_scores_gemma":[0.9994032,0.0001607811,0.0002509716,0.00006079819,0.000007466215,0.000006210878,0.00001016842,7.853903e-7,0.00009946222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0184857,"threshold_uncertainty_score":0.03675622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09752855996389674,"score_gpt":0.290353481001041,"score_spread":0.1928249210371442,"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."}}