{"id":"W2728621570","doi":"10.3389/fmars.2017.00208","title":"Incentivizing More Effective Marine Protected Areas with the Global Ocean Refuge System (GLORES)","year":2017,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"San Francisco Foundation; Vidda Foundation","keywords":"Marine protected area; Overfishing; Environmental resource management; Marine ecosystem; Marine conservation; Resilience (materials science); Environmental science; Marine spatial planning; Environmental planning; Business; Prosperity; Ecosystem; Habitat; Fishery; Ecology; Fishing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003800008,0.0003900292,0.0002149365,0.0008473325,0.0006772052,0.001743624,0.0009935687,0.001481541,0.01043508],"category_scores_gemma":[0.00826254,0.0001535652,0.0004305011,0.0007228436,0.001105681,0.001378812,0.004999022,0.00162344,0.0007762774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497402,"about_ca_system_score_gemma":0.007244631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008147705,"about_ca_topic_score_gemma":0.02024146,"domain_scores_codex":[0.9972751,0.001266014,0.00007797851,0.0001554365,0.0007175806,0.0005079642],"domain_scores_gemma":[0.9960419,0.0009968893,0.00065528,0.0003379719,0.0005720902,0.001395902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000298512,0.0009870381,0.06589636,0.001553641,0.0003038606,0.0006468304,0.001602779,0.0182617,0.008117676,0.323171,0.1629695,0.416191],"study_design_scores_gemma":[0.0002630807,0.0009214593,0.1097081,0.00125133,0.0001719257,0.0005920979,0.002437311,0.01682105,0.002362318,0.06625494,0.7990805,0.0001358749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2167808,0.007274684,0.05387317,0.1117351,0.002833378,0.002232136,0.002790772,0.001063406,0.6014166],"genre_scores_gemma":[0.9319949,0.002822531,0.02843702,0.01394107,0.0003017889,0.0006876369,0.0007529323,0.0001082343,0.02095396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01043508,"threshold_uncertainty_score":0.03490883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003901343760678225,"score_gpt":0.2082412370039868,"score_spread":0.2043398932433086,"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."}}