{"id":"W1982370423","doi":"10.1016/j.aquatox.2008.01.016","title":"Water–sediment interactions for Hyalella azteca exposed to uranium-spiked sediment","year":2008,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada","keywords":"Hyalella azteca; Sediment; Environmental science; Uranium; Environmental chemistry; Geology; Chemistry; Amphipoda; Ecology; Biology; Crustacean","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":[0.0001349831,0.0003037543,0.000406364,0.0002360194,0.0006088699,0.0005871206,0.000268993,0.0005351918,0.001396626],"category_scores_gemma":[0.0001932755,0.000192775,0.0002497411,0.0002452642,0.0002442864,0.0002929326,0.0004123279,0.0003356338,0.0002439945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000660995,"about_ca_system_score_gemma":0.0004402618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01741,"about_ca_topic_score_gemma":0.01489365,"domain_scores_codex":[0.999833,0.00002088802,0.000008971144,0.00005935032,0.00003561836,0.00004215212],"domain_scores_gemma":[0.9998769,0.00003164801,0.00002102798,0.000009835497,0.00003708177,0.00002362533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001062284,0.00006683666,0.007892186,0.00009954988,0.00003277345,0.0001840886,0.0001958795,0.0004134383,0.986594,0.00005823668,0.00008339562,0.003317301],"study_design_scores_gemma":[0.00004672974,0.002496039,0.1688675,0.00001401543,0.0001122833,0.0003154016,0.001264111,0.003825215,0.8195196,0.00015266,0.00335235,0.0000341081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988638,0.0001667511,0.0001224491,0.00002950122,0.000007922762,0.00000479901,0.0001855145,0.000005920868,0.0006133009],"genre_scores_gemma":[0.9957777,0.0002010404,0.0003944684,0.00003393253,0.000004447694,0.000006046482,0.0003454257,0.00000408001,0.003232821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01741,"threshold_uncertainty_score":0.03461736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378144729570323,"score_gpt":0.2886967031065414,"score_spread":0.2508822301495092,"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."}}