{"id":"W2134550474","doi":"10.1093/icesjms/fsq039","title":"Rebuilding depleted fish stocks: biology, ecology, social science, and management strategies","year":2010,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fisheries science; Stock (firearms); Fisheries management; Fish stock; Ecology; Trophic level; Fishery; Biology; Environmental resource management; Fishing; Geography; Environmental science","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":[0.002496309,0.0002346677,0.0003204049,0.0009390219,0.0007585009,0.001949336,0.0004664579,0.0006122713,0.003684424],"category_scores_gemma":[0.003479728,0.0001233568,0.0001571828,0.0006568707,0.001519455,0.001801854,0.001598082,0.0006266231,0.0002518981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297193,"about_ca_system_score_gemma":0.001320649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007743096,"about_ca_topic_score_gemma":0.01382939,"domain_scores_codex":[0.9995746,0.0001776379,0.00002302262,0.00004827186,0.00009608248,0.00008049281],"domain_scores_gemma":[0.9985784,0.0006708038,0.0002170082,0.00005360032,0.0002250994,0.0002550662],"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":[0.0003059164,0.0004303315,0.2610051,0.00161983,0.0002089442,0.001036815,0.01391146,0.003192586,0.007060998,0.05364586,0.0394868,0.6180954],"study_design_scores_gemma":[0.00004691545,0.0007354901,0.7121413,0.003306336,0.0001403297,0.001199412,0.04623472,0.005682196,0.003572595,0.09768233,0.1290469,0.0002115097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7485946,0.09163203,0.00628995,0.09436941,0.0005352222,0.0001377311,0.0006158076,0.00005960602,0.05776552],"genre_scores_gemma":[0.9593621,0.02970827,0.002312144,0.002257032,0.0002366572,0.00005235127,0.0001632211,0.000009402334,0.005898784],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007743096,"threshold_uncertainty_score":0.01539606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232353014440535,"score_gpt":0.2889189083170779,"score_spread":0.2765953781726725,"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."}}