{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004687146,0.00007010944,0.0001382002,0.0008160469,0.0008479599,0.001392496,0.000285503,0.0002924058,0.002800469],"category_scores_gemma":[0.002696089,0.0001161306,0.00009894965,0.0008376281,0.001389599,0.001045291,0.0008833122,0.0001975665,0.0001188679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003068258,"about_ca_system_score_gemma":0.0007696039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1120715,"about_ca_topic_score_gemma":0.2251162,"domain_scores_codex":[0.9997833,0.00009491238,0.000009100313,0.00003459656,0.00002110708,0.00005700761],"domain_scores_gemma":[0.9987093,0.0004616047,0.0004545253,0.00007322394,0.0001489894,0.0001523073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002996442,0.000139345,0.7453502,0.00008616833,0.0001088844,0.0006573838,0.01539029,0.03175997,0.003213174,0.1701467,0.002961031,0.02988727],"study_design_scores_gemma":[0.00003296411,0.00005285908,0.903282,0.00004938392,0.00002977534,0.0001500374,0.01605982,0.04251815,0.0002161399,0.02825827,0.009329114,0.00002154262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996024,0.00003331477,0.0003323371,0.0004976345,9.885582e-7,0.00000387134,0.00004761033,0.000003065422,0.003057189],"genre_scores_gemma":[0.9994377,0.00002286059,0.0000666502,0.000009332006,0.000001000724,0.000002297024,0.0000168274,6.078016e-7,0.0004426493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1120715,"threshold_uncertainty_score":0.2228383,"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."}}