{"id":"W2145617198","doi":"10.1111/j.1467-2979.2011.00452.x","title":"Implementing ecosystem‐based management: evolution or revolution?","year":2011,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canada Research Chairs","keywords":"Corporate governance; Scope (computer science); Toolbox; Adaptive management; Fisheries management; Ecosystem-based management; Holistic management; Business; Complex adaptive system; Ecosystem management; Knowledge management; Complexity management; Sustainability; Psychological resilience; Environmental resource management; Ecosystem; Computer science; Process management; Political science; Ecology; Economics; Marketing; Psychology; Artificial intelligence","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":[0.01870086,0.0004839603,0.0004744105,0.000935647,0.001565636,0.008094411,0.001516567,0.003979833,0.004467409],"category_scores_gemma":[0.0115732,0.0002113354,0.0004304686,0.0009607826,0.02054578,0.01235239,0.005777893,0.005204695,0.0006102464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00362988,"about_ca_system_score_gemma":0.004700397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727071,"about_ca_topic_score_gemma":0.00152049,"domain_scores_codex":[0.9917271,0.004989656,0.0003766044,0.0007499885,0.00130193,0.0008547484],"domain_scores_gemma":[0.9926998,0.003207783,0.000741224,0.001560325,0.001184262,0.0006065558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002638799,0.00009837041,0.0009098621,0.0002274571,0.00002565044,0.0000786618,0.001623089,0.001081991,0.0003771517,0.9146565,0.0157466,0.0651484],"study_design_scores_gemma":[0.00003345979,0.0001040368,0.001242892,0.0007763737,0.00002207194,0.0001618358,0.003670843,0.002454673,0.0006678551,0.7486179,0.2422097,0.000038422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02484777,0.02913104,0.03952726,0.7881902,0.004038678,0.00007189266,0.00006049722,0.000317991,0.1138147],"genre_scores_gemma":[0.8425457,0.03172628,0.04206377,0.06180365,0.002908774,0.0002112462,0.00008081058,0.0001887161,0.01847103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01870086,"threshold_uncertainty_score":0.09890079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640298671951556,"score_gpt":0.228127973921312,"score_spread":0.2017249872017964,"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."}}