{"id":"W2097132641","doi":"10.1071/en14039","title":"Arsenic cycling in freshwater phytoplankton and zooplankton cultures","year":2014,"lang":"en","type":"article","venue":"Environmental Chemistry","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Argonne National Laboratory; Basic Energy Sciences; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Office of Science; Canadian Light Source; U.S. Department of Energy","keywords":"Arsenic; Environmental chemistry; Arsenate; Daphnia; Plankton; Arsenobetaine; Phytoplankton; Zooplankton; Food chain; Daphnia pulex; Arsenite; Daphnia magna; Bioaccumulation; Arsenic contamination of groundwater; Chemistry; Biology; Ecology; Toxicity; Nutrient","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001096756,0.0001181494,0.00009111469,0.00000827996,0.00006009638,0.00001442309,0.00007659527,0.00007662439,0.002715674],"category_scores_gemma":[0.00001099242,0.0001139518,0.00002300493,0.00002928886,0.0001322595,0.0001083022,0.0001056889,0.0001215246,0.0001522103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102183,"about_ca_system_score_gemma":0.000001138566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001958054,"about_ca_topic_score_gemma":0.00005441354,"domain_scores_codex":[0.9992483,0.00001917888,0.0001445598,0.0002723577,0.000148336,0.0001672169],"domain_scores_gemma":[0.9997364,0.00002077156,0.00004356757,0.0001293926,2.53182e-7,0.0000696295],"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":[0.000008625473,0.0000512525,0.1325558,0.00001009534,0.000002829721,0.00000448262,0.0005671764,0.0001039342,0.8535448,0.000006990606,0.0003380688,0.01280594],"study_design_scores_gemma":[0.001385655,0.00003162806,0.3242864,0.00003475633,0.00001469099,0.00005375948,0.00067784,0.005059127,0.5985871,0.0005156023,0.06882785,0.0005256037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836474,0.00003616726,0.00005802412,0.0001033474,0.00002542327,0.00006633087,0.000006945945,0.00002021885,0.01603611],"genre_scores_gemma":[0.9971708,0.00003343855,0.0003035044,0.0001614978,0.00003653665,0.00001046806,0.00005817893,0.0000094081,0.002216134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2549577,"threshold_uncertainty_score":0.998196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002116725350698262,"score_gpt":0.1794937787380828,"score_spread":0.1773770533873845,"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."}}