{"id":"W3207869012","doi":"10.1111/fwb.13831","title":"Arctic freshwater biodiversity: Establishing baselines, trends, and drivers of ecological change","year":2021,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Wilfrid Laurier University; Environment and Climate Change Canada","funders":"Russian Academy of Sciences; Environment Canada; U.S. Geological Survey; Naturvårdsverket","keywords":"Biodiversity; Arctic; Ecology; Geography; Climate change; The arctic; Environmental science; Environmental resource management; Oceanography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01179575,0.0004181345,0.0005536933,0.0126429,0.001189045,0.003857937,0.0006633818,0.0007374852,0.001922101],"category_scores_gemma":[0.01213063,0.0002517944,0.0004343445,0.01548039,0.0004611498,0.003374229,0.002111195,0.0008180388,0.0006510141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002189886,"about_ca_system_score_gemma":0.003525969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03094831,"about_ca_topic_score_gemma":0.03893773,"domain_scores_codex":[0.996958,0.0008718576,0.0004390741,0.0004622221,0.00104188,0.0002269246],"domain_scores_gemma":[0.9875042,0.003319853,0.001884821,0.0005331057,0.005578488,0.001179557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002840476,0.0001566748,0.4639806,0.002601576,0.0003859321,0.0002795125,0.007388775,0.003277967,0.001265514,0.009079664,0.06934182,0.441958],"study_design_scores_gemma":[0.00001433923,0.0002063073,0.8681661,0.002131256,0.0001120746,0.0001205815,0.008245622,0.00323702,0.0004782802,0.005943008,0.1112846,0.00006069058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7219598,0.07647052,0.01882127,0.02040478,0.00318979,0.0008070639,0.06485516,0.0005313996,0.0929601],"genre_scores_gemma":[0.8689223,0.04369535,0.02851627,0.001312531,0.002437037,0.0007497785,0.05018932,0.000151308,0.004026054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03094831,"threshold_uncertainty_score":0.06238258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840746704310699,"score_gpt":0.2214815077625625,"score_spread":0.1930740407194555,"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."}}