{"id":"W7064918950","doi":"","title":"Contrasting responses of Arctic charr and brown trout to compensatory nutrient enrichment in an oligotrophicated reservoir","year":2025,"lang":"en","type":"article","venue":"Epsilon Open Archive (Sveriges lantbruksuniversitet biblioteket (Swedish University of Agricultural Sciences))","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Energimyndigheten; Naturvårdsverket; Stiftelsen Oscar och Lili Lamms Minne","keywords":"Nutrient; Arctic; Trout; Brown trout; Eutrophication; Salmonidae; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003325392,0.0001969866,0.000389375,0.001616199,0.0002651985,0.00008665609,0.0008835176,0.00006200206,0.00004333287],"category_scores_gemma":[0.00004080429,0.0001851579,0.00005681883,0.003208513,0.0003399555,0.000979743,0.0003304765,0.0001715374,0.000002103469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403633,"about_ca_system_score_gemma":0.00007170191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0019155,"about_ca_topic_score_gemma":0.001434895,"domain_scores_codex":[0.9986011,0.00012548,0.0002570252,0.0003817036,0.000290551,0.0003441207],"domain_scores_gemma":[0.9991581,0.0002609018,0.00009752339,0.0001669881,0.0001307939,0.0001856943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003421467,0.001151637,0.3862601,0.0009845393,0.0004784624,0.0002022987,0.02343076,0.07558221,0.4649968,0.03092701,0.009815295,0.002749382],"study_design_scores_gemma":[0.001312843,0.000352954,0.9854398,0.0004737785,0.00004022298,0.000003632295,0.00573017,0.003064964,0.002101528,0.0002092182,0.001001699,0.000269143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918513,0.0001127799,0.0005789456,0.000424427,0.0001142113,0.000580783,0.0001661863,0.00004058579,0.006130799],"genre_scores_gemma":[0.9970823,0.0006174603,0.002111859,0.0000324355,0.000006783494,4.931952e-7,0.00004336945,0.000004715087,0.0001005615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5991797,"threshold_uncertainty_score":0.755052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161536133750256,"score_gpt":0.24328828275981,"score_spread":0.2271346693847844,"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."}}