{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00443092,0.0001735275,0.0003020514,0.00004486163,0.001160057,0.00005922385,0.001231034,0.00002594903,0.00002217971],"category_scores_gemma":[0.00008944935,0.00008985536,0.00007678088,0.001197898,0.0001064959,0.0001384021,0.0005682934,0.0000857331,0.0001503929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004535728,"about_ca_system_score_gemma":0.00009422514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005290803,"about_ca_topic_score_gemma":0.08245994,"domain_scores_codex":[0.9965734,0.000600902,0.0008891814,0.0004839849,0.001113226,0.0003392374],"domain_scores_gemma":[0.9976693,0.0001982069,0.0008369467,0.001087615,0.00004118491,0.0001667888],"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":[0.0003303861,0.001587067,0.7056825,0.007090405,0.0003850261,0.0001312869,0.05202026,0.05012668,0.000432763,0.007421683,0.01884306,0.1559489],"study_design_scores_gemma":[0.00274284,0.002340026,0.1100525,0.0006588003,0.0003893866,0.00007195368,0.1176694,0.703651,0.0004912367,0.0001511046,0.06098157,0.0008001897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717097,0.00007036875,0.006391776,0.01381519,0.0002437475,0.007019547,0.00003311412,0.00002769018,0.0006888835],"genre_scores_gemma":[0.999115,0.00000709264,0.0001710383,0.0004517834,0.00003000003,0.0001849796,0.000001214406,0.000008325996,0.00003053249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6535243,"threshold_uncertainty_score":0.9342828,"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."}}