{"id":"W2896518345","doi":"10.1111/faf.12324","title":"Ecosystems say good management pays off","year":2018,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada; Fisheries Research and Development Corporation; Fogarty International Center; Commonwealth Scientific and Industrial Research Organisation","keywords":"Ecosystem; Operationalization; Fisheries management; Ecosystem-based management; Ecosystem management; Environmental resource management; Coastal ecosystem; Ecosystem approach; Fishery; Business; Environmental science; Ecology; Fishing; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004055087,0.0005254724,0.0006627997,0.0009394837,0.002503697,0.008411176,0.0006668068,0.002800108,0.01820378],"category_scores_gemma":[0.007860127,0.0002854727,0.0004133029,0.0008376409,0.007077025,0.007355632,0.004557704,0.002603853,0.001552268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002764711,"about_ca_system_score_gemma":0.002776939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003207774,"about_ca_topic_score_gemma":0.007439273,"domain_scores_codex":[0.9969872,0.001006586,0.0001032013,0.0003456777,0.0007102001,0.0008472151],"domain_scores_gemma":[0.9955042,0.001011529,0.0008004124,0.0008659996,0.0008571766,0.0009606342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004446335,0.0003163524,0.03566672,0.0006262515,0.0003974588,0.0007030597,0.002057948,0.009744945,0.003672853,0.674433,0.1095458,0.1623909],"study_design_scores_gemma":[0.00008075521,0.0002541886,0.0378231,0.0005306076,0.0001579675,0.0003724321,0.007956398,0.004045055,0.001971513,0.7401772,0.2065253,0.0001055367],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1714796,0.004890408,0.01680464,0.2719186,0.002897581,0.0000991194,0.0005300381,0.0005394749,0.5308406],"genre_scores_gemma":[0.9662655,0.0009831704,0.002270847,0.01977546,0.0003392844,0.00003263225,0.0000587408,0.0001053842,0.01016896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01820378,"threshold_uncertainty_score":0.06089777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063389612839399,"score_gpt":0.2118618846935925,"score_spread":0.2012279885651985,"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."}}