{"id":"W1994978909","doi":"10.1126/science.1230441","title":"Resilience and Recovery of Overexploited Marine Populations","year":2013,"lang":"en","type":"article","venue":"Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":281,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Dalhousie University","funders":"","keywords":"Overfishing; Overexploitation; Environmental science; Fishing; Biomass (ecology); Resilience (materials science); Population; Natural resource economics; Stock (firearms); Fish stock; Fishery; Ecology; Economics; Geography; Biology","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":[0.002638878,0.0005303619,0.0007428901,0.001623513,0.0003436836,0.0009297295,0.0005545137,0.0003738605,0.001260365],"category_scores_gemma":[0.005950062,0.0002351896,0.001589217,0.001313658,0.0006249219,0.0009760611,0.001528856,0.0005859908,0.00009981698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000402201,"about_ca_system_score_gemma":0.0003507009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003408317,"about_ca_topic_score_gemma":0.003505597,"domain_scores_codex":[0.9992834,0.000271018,0.00007200691,0.0002423212,0.00004876652,0.00008263186],"domain_scores_gemma":[0.9974027,0.0009913566,0.0007082559,0.0006121735,0.0001364272,0.0001490958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009081016,0.00005339702,0.8638896,0.001565932,0.03088248,0.000707985,0.0007451181,0.0382219,0.008685664,0.002315188,0.001061014,0.05096356],"study_design_scores_gemma":[0.00003525965,0.0002977842,0.9653664,0.0003562617,0.007979911,0.0004475385,0.0007928113,0.01267234,0.001565971,0.008158479,0.002259769,0.00006757233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901447,0.005958298,0.001824868,0.000462262,0.00001954689,0.000008591419,0.0006926389,0.00005337574,0.0008355114],"genre_scores_gemma":[0.9986479,0.0007865249,0.0002320659,0.000042679,0.000005247446,0.000003171732,0.0002265918,0.000007035573,0.0000488116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003408317,"threshold_uncertainty_score":0.01395589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995635194197211,"score_gpt":0.2585882780769415,"score_spread":0.2386319261349694,"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."}}