{"id":"W3200036498","doi":"10.1111/gcb.15902","title":"Functional traits reveal the dominant drivers of long‐term community change across a North American Great Lake","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Queen's University","funders":"National Oceanic and Atmospheric Administration; University of Michigan; Great Lakes Fishery Commission","keywords":"Term (time); Climate change; Geography; Environmental change; Ecology; Physical geography; Environmental 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003053492,0.0001983331,0.0001759008,0.000924582,0.0004825914,0.000487183,0.0002006907,0.0002823841,0.0006705096],"category_scores_gemma":[0.0004529942,0.0001516245,0.0002044178,0.0009109483,0.0004740698,0.0004482555,0.0008033694,0.0002513214,0.00007804677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005984714,"about_ca_system_score_gemma":0.0004147128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04069611,"about_ca_topic_score_gemma":0.1528345,"domain_scores_codex":[0.9998763,0.00002057898,0.000008413423,0.00004215012,0.00002217991,0.00003041683],"domain_scores_gemma":[0.9997268,0.0000395731,0.00009579133,0.00002182285,0.00006158173,0.00005432466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004791683,0.00001708791,0.9842704,0.0000186071,0.00008205006,0.00005228506,0.0009007626,0.0001456742,0.009543633,0.00003810002,0.0001395537,0.004743945],"study_design_scores_gemma":[3.391222e-7,0.000004598637,0.999602,8.844468e-7,0.000003967053,0.000006806613,0.0001727035,0.00009652901,0.00003402168,0.000008133463,0.0000688624,0.000001144522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996425,0.0000463918,0.00005319115,0.000021914,4.405191e-7,0.000001625304,0.00008765707,0.000003510338,0.000142766],"genre_scores_gemma":[0.9995315,0.00003332294,0.0001004657,0.00002114082,0.000001344871,0.000004952823,0.0001481811,0.000001825789,0.0001572488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9593039,"threshold_uncertainty_score":0.08091849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05326977587039741,"score_gpt":0.2785463083129019,"score_spread":0.2252765324425045,"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."}}