{"id":"W2000268071","doi":"10.1007/s10661-007-9886-9","title":"Monitoring pollution in River Mureş, Romania, part II: Metal accumulation and histopathology in fish","year":2007,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; National Research Council Canada","keywords":"Gill; Histopathology; Cadmium; Leuciscus; Upstream and downstream (DNA); Biology; Zinc; Veterinary medicine; Chemistry; Pathology; Fish <Actinopterygii>; Fishery; Medicine; Upstream (networking)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003889774,0.0003102704,0.00035658,0.001244772,0.0003518934,0.0002969234,0.0002718626,0.0003578886,0.0005389552],"category_scores_gemma":[0.0003136383,0.0003199055,0.0003128905,0.0006469233,0.0004071601,0.0001610106,0.0004104771,0.0001580281,0.0001827532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003659122,"about_ca_system_score_gemma":0.0003947824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008970652,"about_ca_topic_score_gemma":0.01836608,"domain_scores_codex":[0.9997578,0.00004765191,0.00002880329,0.00006539229,0.00005835123,0.00004192581],"domain_scores_gemma":[0.9998659,0.0000141422,0.00005355914,0.00001395601,0.00004007876,0.00001237233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005341988,0.0001186997,0.6491368,0.0003031493,0.0001819001,0.0005651473,0.0009006343,0.0008578604,0.3219289,0.0001032599,0.0002250469,0.02514441],"study_design_scores_gemma":[0.00001388211,0.0004801675,0.9728704,0.00001915693,0.00005775984,0.0006556911,0.0004311301,0.0002349908,0.0235387,0.00002868937,0.001661284,0.000008249121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978631,0.0005334159,0.0003772954,0.00001237919,0.000002820517,0.00002502609,0.0001713862,0.000006027331,0.001008549],"genre_scores_gemma":[0.9947652,0.0006615454,0.001731621,0.00002613365,0.000003999047,0.00004411242,0.0003496707,0.000009134689,0.002408596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008970652,"threshold_uncertainty_score":0.01783687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102407107304553,"score_gpt":0.2887118197513932,"score_spread":0.2676877486783477,"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."}}