{"id":"W4408275733","doi":"10.1787/0b539499-en","title":"Improving Policy Coherence for Portugal’s Ocean Economy","year":2025,"lang":"en","type":"book","venue":"OECD Publishing eBooks","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; National Oceanic and Atmospheric Administration; Ministerie van Landbouw, Natuur en Voedselkwaliteit; Directorate-General for Maritime Affairs and Fisheries; Ministry of Rural Affairs; Nærings- og Fiskeridepartementet; European Commission; U.S. Department of Commerce","keywords":"Coherence (philosophical gambling strategy); Economy; Economics; Political science; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00409545,0.0003703543,0.0002571182,0.0009447851,0.003100251,0.01396743,0.000700074,0.003478612,0.00882649],"category_scores_gemma":[0.006558965,0.0002381474,0.0004949348,0.001679906,0.004119874,0.005153962,0.003833754,0.003570239,0.002053732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01160777,"about_ca_system_score_gemma":0.02246813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061504,"about_ca_topic_score_gemma":0.01934994,"domain_scores_codex":[0.9975268,0.0008909454,0.0001106438,0.0002300559,0.0009013987,0.0003402656],"domain_scores_gemma":[0.997683,0.001179614,0.0001653167,0.0003434604,0.0003880397,0.0002405181],"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":[0.000009269026,0.00001728766,0.0001820694,0.0002094547,0.00000335789,0.00008432252,0.001773188,0.00100565,0.0001555018,0.8807168,0.07445632,0.04138678],"study_design_scores_gemma":[0.000008268721,0.000007522857,0.0005788148,0.0006094194,0.000004197687,0.00005147494,0.001290099,0.0004462026,0.000253298,0.118386,0.8783533,0.00001134076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006287872,0.01323527,0.01003697,0.1228779,0.002496467,0.00007395892,0.0002744241,0.0003334205,0.8443838],"genre_scores_gemma":[0.4555354,0.02820358,0.02850846,0.04291257,0.003781806,0.0003726999,0.00104408,0.0007725232,0.4388688],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01396743,"threshold_uncertainty_score":0.08422065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009693795064441181,"score_gpt":0.2084418943606537,"score_spread":0.1987480992962126,"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."}}