{"id":"W2060071878","doi":"10.1016/j.ecoser.2014.12.003","title":"Fisheries, tourism, and marine protected areas: Conflicting or synergistic interactions?","year":2015,"lang":"en","type":"article","venue":"Ecosystem Services","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Fishing; Tourism; Fishery; Business; Wildlife; Marine protected area; Wildlife tourism; Ecosystem services; Marine conservation; Fisheries management; Population; Natural resource economics; Ecotourism; Overfishing; Environmental resource management; Geography; Ecosystem; Ecology; Environmental science; Economics; Habitat","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002229712,0.0001901599,0.0002620341,0.00003260737,0.0001831431,0.0001028423,0.0001676906,0.00004066377,0.0008842068],"category_scores_gemma":[0.00005076416,0.0001391904,0.00002547528,0.0001975676,0.00002116507,0.0003674513,0.0007637271,0.00009922253,0.0002871463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335805,"about_ca_system_score_gemma":0.00001092862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01274496,"about_ca_topic_score_gemma":0.09287807,"domain_scores_codex":[0.9988482,0.00006963635,0.0003064692,0.0003317811,0.0002004049,0.0002434811],"domain_scores_gemma":[0.9993457,0.00007237498,0.0001673729,0.0002101522,0.00003374077,0.0001706944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004938633,0.0002128688,0.955036,0.001652339,0.0002248619,0.0002351709,0.005284339,0.00008676366,0.001249734,0.00008918995,0.01327156,0.02216326],"study_design_scores_gemma":[0.001824217,0.0005399712,0.2049891,0.0006079337,0.0001111977,0.0004464778,0.009659928,0.02061315,0.0004862539,0.000477459,0.7591718,0.001072587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799126,0.00006396684,0.00002062106,0.0004751455,0.000466915,0.0004442901,0.00001572007,0.0001641313,0.01843655],"genre_scores_gemma":[0.9953679,0.00001200613,0.0002491145,0.00008886391,0.0001610476,0.0001281413,0.00001436079,0.00001701484,0.003961503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.750047,"threshold_uncertainty_score":0.9938293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058412477224762,"score_gpt":0.2362978346129171,"score_spread":0.2157137098406695,"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."}}