{"id":"W2134627054","doi":"10.1525/bio.2013.63.9.9","title":"Modeling Social–Ecological Scenarios in Marine Systems","year":2013,"lang":"en","type":"article","venue":"BioScience","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Stockholms Universitet; Vetenskapsrådet; Svenska Forskningsrådet Formas; Stiftelsen för Miljöstrategisk Forskning","keywords":"Stewardship (theology); Human systems engineering; Corporate governance; Environmental resource management; Process (computing); Natural (archaeology); Ecological systems theory; Adaptive management; Environmental stewardship; Ecology; Environmental science; Sociology; Computer science; Geography; Political science; Business; Social science; 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":[0.00231369,0.0007972646,0.0006231896,0.001154481,0.001222387,0.002148952,0.001732028,0.002984974,0.004970516],"category_scores_gemma":[0.008909354,0.0004656361,0.001020969,0.001205361,0.001826822,0.002738697,0.002695569,0.001523311,0.0002695614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003107107,"about_ca_system_score_gemma":0.001246793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01587266,"about_ca_topic_score_gemma":0.0172022,"domain_scores_codex":[0.9985879,0.001064351,0.00004703666,0.0001218725,0.00007210565,0.0001066773],"domain_scores_gemma":[0.9945484,0.004024465,0.0005200336,0.0002216171,0.0001815265,0.0005040377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002093837,0.00003860275,0.001817246,0.00002795879,0.00004396879,0.00009635868,0.0001725746,0.9274462,0.00007675588,0.06864709,0.0003921947,0.001220122],"study_design_scores_gemma":[0.00001704851,0.00001722881,0.0003714058,0.00001357773,0.00001178489,0.0000150737,0.0001766274,0.9357167,0.00002652388,0.06253606,0.001086926,0.00001093615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6530672,0.001227252,0.2558269,0.008410821,0.0001967949,0.0003761584,0.001800485,0.0002871882,0.07880723],"genre_scores_gemma":[0.9758104,0.0004319303,0.01994547,0.0001685988,0.0000533508,0.0003184824,0.0003522888,0.0000303339,0.002889039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01587266,"threshold_uncertainty_score":0.03156054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117536874905196,"score_gpt":0.2517435120797987,"score_spread":0.2205681433307468,"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."}}