{"id":"W2986233404","doi":"10.1016/j.jnc.2019.125756","title":"Governing from images: Marine protected areas as case illustrations","year":2019,"lang":"en","type":"article","venue":"Journal for Nature Conservation","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada; Ministerio de Economía y Competitividad; Universidad de La Laguna","keywords":"Marine protected area; Stakeholder; Corporate governance; Livelihood; Tourism; Environmental resource management; Business; Geography; Political science; Ecology; Public relations; Agriculture; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001798102,0.0001065964,0.0001258546,0.00002397282,0.000310319,0.00007303377,0.00008324924,0.0001052767,0.001434757],"category_scores_gemma":[0.0002847971,0.0000857741,0.00006951467,0.0001357282,0.00002022073,0.0003709921,0.0001064437,0.0003771774,0.0002077079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533444,"about_ca_system_score_gemma":0.00002191109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775509,"about_ca_topic_score_gemma":0.001785485,"domain_scores_codex":[0.9992595,0.00002886729,0.0002199316,0.0001654058,0.0001819844,0.000144313],"domain_scores_gemma":[0.9994504,0.0001162721,0.0002039724,0.0001083705,0.00006350412,0.00005748691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003268233,0.0001237619,0.8294728,0.00005578543,0.0001539912,0.0003448349,0.0004317423,0.0002007792,0.02482424,0.0004937597,0.1284476,0.01512386],"study_design_scores_gemma":[0.001664495,0.0003130994,0.6604324,0.00007819546,0.00008258855,0.001893446,0.000597601,0.00507986,0.0009588407,0.007929359,0.3205746,0.0003954876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909019,0.00004407427,0.0002590973,0.002983485,0.0006758391,0.0005643488,0.00004528144,0.00003058085,0.004495397],"genre_scores_gemma":[0.9891663,0.00001179185,0.001912295,0.0005714095,0.0002232471,0.00003255477,0.00006794423,0.00001225767,0.008002249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1921271,"threshold_uncertainty_score":0.999478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008871483220158188,"score_gpt":0.239126620389481,"score_spread":0.2302551371693228,"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."}}