{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003087997,0.00007512984,0.00009638617,0.00003420015,0.0001423201,0.0001034726,0.0003938628,0.00005643865,0.008711427],"category_scores_gemma":[0.000068344,0.00005879669,0.00002033305,0.0004448018,0.0002292214,0.0003069663,0.0006721845,0.0001266224,0.0007654871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322907,"about_ca_system_score_gemma":0.00001274109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007631275,"about_ca_topic_score_gemma":0.0002569141,"domain_scores_codex":[0.9987773,0.00004266317,0.0001564539,0.0002896613,0.0003431285,0.0003907365],"domain_scores_gemma":[0.9997433,0.00001778455,0.00001764116,0.0001270809,0.000008456002,0.0000857527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006482956,0.0002066722,0.9524264,0.00001145784,0.000001240572,0.00001922142,0.0003503261,0.00496038,0.01206134,0.0006231514,0.00182962,0.02750367],"study_design_scores_gemma":[0.0001535059,0.00005465165,0.254515,0.000002010997,6.293826e-7,0.00000470111,0.0003754317,0.7404682,0.00002732821,0.0002345209,0.003987772,0.0001761988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8678697,0.000001399869,0.0001662897,0.0005057025,0.00007281442,0.0002372041,3.157579e-7,0.0000233285,0.1311232],"genre_scores_gemma":[0.9970373,0.00000763217,0.0003539374,0.0001495061,0.00002418911,0.00005574053,7.569172e-7,0.000003722849,0.002367237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7355078,"threshold_uncertainty_score":0.998977,"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."}}