{"id":"W2095212350","doi":"10.1038/srep08481","title":"Winners and losers in a world where the high seas is closed to fishing","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; InStream Fisheries Research (Canada); Fisheries and Oceans Canada","funders":"University of Oxford; Social Sciences and Humanities Research Council of Canada; University of British Columbia; Pew Charitable Trusts","keywords":"Fishing; Exclusive economic zone; International waters; Fishery; Gini coefficient; Geography; Spillover effect; Inequality; Biology; Economic inequality; Economics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008297983,0.0001381655,0.0003690967,0.0009372726,0.001000434,0.001814214,0.000246058,0.0003767568,0.006381435],"category_scores_gemma":[0.002823128,0.0001411631,0.0002611351,0.0005616728,0.000956195,0.001682668,0.001683627,0.0005745441,0.0005494815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450258,"about_ca_system_score_gemma":0.0002040595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004708274,"about_ca_topic_score_gemma":0.0118192,"domain_scores_codex":[0.999505,0.0001258358,0.00002166728,0.00007830746,0.00006197751,0.0002071589],"domain_scores_gemma":[0.9990037,0.0001947819,0.0003214322,0.00006403722,0.00006709225,0.0003490671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006563647,0.0002431198,0.9366833,0.00005926671,0.0002060641,0.001064632,0.004630607,0.0009263767,0.00123697,0.008515492,0.003627066,0.04215072],"study_design_scores_gemma":[0.00002873612,0.0002719479,0.9513569,0.00005095005,0.0001004896,0.0005719022,0.032523,0.001789446,0.0003103291,0.007215209,0.005746366,0.00003457788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959998,0.00010691,0.00007082329,0.0002606175,0.00001600667,0.000002790131,0.00005260224,0.000002577036,0.003487819],"genre_scores_gemma":[0.9989206,0.00007615499,0.00004280606,0.00005780525,0.00000632098,0.000001900358,0.00006038655,0.000001586728,0.0008324571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006381435,"threshold_uncertainty_score":0.021348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189346280794846,"score_gpt":0.2531863998495348,"score_spread":0.2312929370415863,"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."}}