{"id":"W2017148881","doi":"10.1016/j.pocean.2012.03.008","title":"Dealing with uncertainty in ecosystem models: The paradox of use for living marine resource management","year":2012,"lang":"en","type":"article","venue":"Progress In Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ecosystem-based management; Context (archaeology); Ecosystem management; Ecosystem; Natural resource management; Environmental resource management; Resource management (computing); Marine ecosystem; Ecosystem services; Resource (disambiguation); Natural resource; Ecosystem model; Marine conservation; Computer science; Ecology; Environmental science; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008927392,0.0001195842,0.0001504368,0.0001296979,0.00006469775,0.00003429782,0.0003055735,0.00003592495,0.0001016106],"category_scores_gemma":[0.00001009106,0.0000794948,0.00005349694,0.0005866064,0.0001724989,0.0002864057,0.0004261621,0.0001221369,8.474491e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004493717,"about_ca_system_score_gemma":0.00000226865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007603395,"about_ca_topic_score_gemma":0.0005550716,"domain_scores_codex":[0.9987059,0.00007750138,0.0002500598,0.0002041954,0.0003099473,0.0004523642],"domain_scores_gemma":[0.9993876,0.0001705155,0.00007892842,0.0002969117,0.000008064135,0.00005800901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001045854,0.0001230673,0.9689143,0.00009359197,0.00001766289,0.000002402429,0.0005744311,0.002528492,1.498792e-7,0.001354489,0.00003666346,0.02625016],"study_design_scores_gemma":[0.000993132,0.0002327404,0.8929786,0.0002279038,0.00002978374,0.00000622646,0.002159238,0.06714276,0.00001868216,0.000919681,0.03488303,0.0004082337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976475,0.00009863533,0.0002983621,0.00008023379,0.00001850853,0.0009648377,0.000004781232,0.00001708988,0.02204256],"genre_scores_gemma":[0.9960086,0.00007599627,0.003614616,0.00002563027,0.00001195063,0.0001877734,0.000003930177,0.00001559477,0.00005584561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07593572,"threshold_uncertainty_score":0.3241704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518402308631245,"score_gpt":0.2498689822120295,"score_spread":0.2246849591257171,"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."}}