{"id":"W2027251090","doi":"10.1890/14-0366.1","title":"Rating impacts in a multi‐stressor world: a quantitative assessment of 50 stressors affecting the Great Lakes","year":2014,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Queen's University","funders":"U-M Water Center; National Oceanic and Atmospheric Administration; Fred A. And Barbara M. Erb Family Foundation; National Science Foundation","keywords":"Stressor; Ecosystem; Environmental science; Climate change; Impact assessment; Environmental resource management; Cumulative effects; Ecology; 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":[0.005023323,0.0004299579,0.0002321419,0.001840558,0.0006547955,0.0009878541,0.000264383,0.0004618968,0.001578665],"category_scores_gemma":[0.008597659,0.0001613383,0.0004245352,0.0007809273,0.0007504495,0.0009424926,0.001936191,0.0003730879,0.0001472509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006547783,"about_ca_system_score_gemma":0.0004552447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002709138,"about_ca_topic_score_gemma":0.008286832,"domain_scores_codex":[0.9971232,0.001357841,0.0003101987,0.0002055323,0.000852523,0.0001506924],"domain_scores_gemma":[0.9923192,0.003924685,0.001633529,0.0002959851,0.001401123,0.0004255356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000512309,0.000322648,0.8509156,0.0007523355,0.0004193354,0.0004073525,0.04126192,0.004774169,0.0234773,0.0007173002,0.003159375,0.07328036],"study_design_scores_gemma":[0.00002167229,0.0004939096,0.9687382,0.0001098013,0.00007333054,0.0001581576,0.01720996,0.005695767,0.002229687,0.0007702413,0.004421087,0.00007823763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945556,0.00006071576,0.001931101,0.00009919476,0.0000065176,0.000113447,0.0002136335,0.00001692232,0.003002842],"genre_scores_gemma":[0.9940831,0.000103789,0.004563508,0.00007421093,0.00001997063,0.0002437686,0.0003446082,0.000005273061,0.0005617251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9972908,"threshold_uncertainty_score":0.02656615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03635048291605071,"score_gpt":0.3360430395725602,"score_spread":0.2996925566565095,"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."}}