{"id":"W2901686490","doi":"10.1016/j.ecolecon.2018.10.013","title":"Network Governance of Land-Sea Social-Ecological Systems in the Lesser Antilles","year":2018,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Corporate governance; Network governance; Collaborative governance; Business; Environmental resource management; Social network (sociolinguistics); Environmental planning; Geography; Political science; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005428375,0.0001182979,0.0003106021,0.000005917492,0.0001996037,0.00002268047,0.0003473091,0.00010573,0.0006795708],"category_scores_gemma":[0.00004528517,0.00007157066,0.00006080092,0.0001133769,0.0003228234,0.00007007126,0.0003031587,0.0001117355,0.0002641254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187847,"about_ca_system_score_gemma":0.000008617439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005158538,"about_ca_topic_score_gemma":0.008376906,"domain_scores_codex":[0.9989425,0.0001006803,0.0003398426,0.000246964,0.00006293732,0.0003071018],"domain_scores_gemma":[0.9994479,0.0002102856,0.0001796395,0.0001287371,0.000007384418,0.00002604916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003276095,0.000206247,0.9684353,0.000009416666,0.00001189601,0.000006153724,0.0001708979,0.001084466,0.000006505215,0.01271691,0.01619753,0.001121906],"study_design_scores_gemma":[0.0001740979,0.0001771301,0.9531233,0.00000346787,0.000004423466,0.000003814514,0.00009996221,0.001217762,0.000002091476,0.001796241,0.0432952,0.0001024504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567069,0.00005610738,0.000004400146,0.0008919498,0.0003487274,0.0002439354,0.00001035516,0.00001459066,0.04172306],"genre_scores_gemma":[0.9988164,0.0001388702,0.00004447448,0.0003897258,0.0003161075,0.00003606786,0.000002027002,0.000004343451,0.0002519912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04210952,"threshold_uncertainty_score":0.7440824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196920836831123,"score_gpt":0.2142295020923311,"score_spread":0.1945374184092188,"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."}}