{"id":"W4246468924","doi":"10.31230/osf.io/4k9se","title":"Catching sea cucumber fever in coastal communities: Conceptualizing the impacts of shocks versus trends on social-ecological systems","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Echinoderm biology and ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Vulnerability (computing); Adaptive capacity; Climate change; Scholarship; Psychological resilience; Ecological systems theory; Geography; Ecology; Environmental resource management; Economic geography; Economics; Biology; Economic growth","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":[0.003092338,0.000628459,0.0002936658,0.00262012,0.005432469,0.005669548,0.001581292,0.002082296,0.001946416],"category_scores_gemma":[0.003032218,0.0003069947,0.000457759,0.001578529,0.02141888,0.008397196,0.007136445,0.002180777,0.000120715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007048704,"about_ca_system_score_gemma":0.003413113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03417619,"about_ca_topic_score_gemma":0.02971607,"domain_scores_codex":[0.9982632,0.001084958,0.00005299121,0.0001576635,0.0001534115,0.0002878134],"domain_scores_gemma":[0.9982798,0.0008373692,0.0002911029,0.00007198627,0.0001648087,0.0003549894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003950713,0.00009470167,0.05826314,0.0002489713,0.00004776462,0.002529906,0.5539637,0.003716065,0.001381773,0.3671083,0.001116108,0.01148998],"study_design_scores_gemma":[0.0000162337,0.0001326218,0.05092674,0.0005348827,0.00005967556,0.0008845238,0.6990715,0.01246841,0.0002185241,0.2116407,0.02396767,0.00007861159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006538,0.002724683,0.01901519,0.02000612,0.0001081754,0.000130441,0.0001299464,0.00003879575,0.05719279],"genre_scores_gemma":[0.9977392,0.0004928596,0.001060979,0.0002381793,0.00001665215,0.00004448016,0.00001596655,0.000003573425,0.0003880873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03417619,"threshold_uncertainty_score":0.06795448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09342190144357271,"score_gpt":0.3086093792222667,"score_spread":0.215187477778694,"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."}}