{"id":"W2290316649","doi":"10.15351/2373-8456.1046","title":"Ocean Economy Valuation Studies in the Asia-Pacific Region: Lessons for the Future International Use of National Accounts in the Blue Economy","year":2016,"lang":"en","type":"article","venue":"Journal of Ocean and Coastal Economics","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Industry, Tourism and Investment","funders":"National Oceanic and Atmospheric Administration; Korea Maritime Institute","keywords":"Asia pacific; Valuation (finance); Economy; National economy; Economics; Political science; Economic system; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02474461,0.0008309848,0.00116604,0.005859514,0.001590926,0.01279713,0.001719197,0.001834562,0.003714509],"category_scores_gemma":[0.05059975,0.0004522089,0.0008935737,0.02264937,0.006505903,0.02643266,0.004650195,0.005081319,0.0003552225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005408485,"about_ca_system_score_gemma":0.005813152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02553739,"about_ca_topic_score_gemma":0.01900763,"domain_scores_codex":[0.9922352,0.005981273,0.0002718225,0.0003108867,0.0008646735,0.0003360733],"domain_scores_gemma":[0.9348427,0.04717526,0.003853461,0.0031018,0.00889247,0.002134305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009445119,0.0002242833,0.08473233,0.001051712,0.0002260969,0.0004281924,0.01028859,0.006854729,0.0001277029,0.6282544,0.03418334,0.2335343],"study_design_scores_gemma":[0.00003111461,0.0001466208,0.08288052,0.01163837,0.0001411449,0.0002758241,0.05380513,0.01744732,0.0004331124,0.5891737,0.2437724,0.0002548053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.1886748,0.2536758,0.04090971,0.2968848,0.003281608,0.0001998271,0.002426164,0.0001575148,0.2137897],"genre_scores_gemma":[0.8748696,0.0969227,0.01578273,0.004922044,0.00178201,0.0001739061,0.0009422486,0.0001057754,0.004498943],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02553739,"threshold_uncertainty_score":0.1308636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0648010943731905,"score_gpt":0.2762987251781757,"score_spread":0.2114976308049852,"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."}}