{"id":"W3046647139","doi":"10.1080/14634988.2020.1797313","title":"The application of Great Lakes ecosystem - based science to the restoration of the Gulf: A successful case study","year":2020,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Industrial Plankton; Fisheries and Oceans Canada","funders":"","keywords":"Livelihood; Ecosystem; Habitat; Habitat destruction; Environmental degradation; Environmental resource management; Environmental science; Fishery; Environmental protection; Geography; Oceanography; Environmental planning; Agriculture; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004612651,0.0005995501,0.00032117,0.001668982,0.007423723,0.003497216,0.001531838,0.003372017,0.003151977],"category_scores_gemma":[0.005054574,0.0001996792,0.0005576326,0.001686089,0.004641998,0.001745597,0.005442023,0.002222135,0.000350214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005958755,"about_ca_system_score_gemma":0.006753493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107447,"about_ca_topic_score_gemma":0.08490171,"domain_scores_codex":[0.9977442,0.001421498,0.00005890211,0.00007242264,0.0003726923,0.0003304233],"domain_scores_gemma":[0.9981052,0.0008210489,0.0001523848,0.000143968,0.0003605173,0.0004168133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005471554,0.00328419,0.05213689,0.002101185,0.0001869117,0.1209731,0.2286606,0.02254781,0.005620858,0.158719,0.05858929,0.3466329],"study_design_scores_gemma":[0.0001516189,0.001715081,0.02907853,0.001969018,0.0001119086,0.01430118,0.4605298,0.01268136,0.005393651,0.03728235,0.4366719,0.0001135606],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8278332,0.00370768,0.009096009,0.03084677,0.0003936882,0.0007636573,0.0002243238,0.000103026,0.1270317],"genre_scores_gemma":[0.9517518,0.005499049,0.01798074,0.001931637,0.0001224628,0.0002987162,0.00009803465,0.00004989384,0.02226761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02107447,"threshold_uncertainty_score":0.04323399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228796354804442,"score_gpt":0.2584278179103164,"score_spread":0.236139854362272,"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."}}