{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965208,0.000329127,0.000285775,0.0003428297,0.0004352533,0.0003514865,0.0002652576,0.0002115025,0.0007540894],"category_scores_gemma":[0.0001741258,0.000154012,0.0002555687,0.0003321695,0.000190207,0.0002174353,0.000496193,0.0002518028,0.000249515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004813151,"about_ca_system_score_gemma":0.0004691697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008122611,"about_ca_topic_score_gemma":0.01630577,"domain_scores_codex":[0.9997631,0.00003927985,0.00002444027,0.0000889484,0.00005713637,0.00002717812],"domain_scores_gemma":[0.9998783,0.00002336465,0.00001920669,0.00001138532,0.00004384555,0.00002385465],"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":[0.0001390918,0.00002573415,0.006170338,0.00007071127,0.00001204673,0.0001311528,0.0001979592,0.0001494615,0.9911022,0.00005279177,0.0000518668,0.001896614],"study_design_scores_gemma":[0.00006102452,0.002678396,0.4057939,0.00007383383,0.0001620426,0.0007433345,0.002211831,0.003231763,0.5752923,0.000312036,0.009368755,0.00007073704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963468,0.0003016529,0.0005663901,0.00003211022,0.00001409463,0.00004667254,0.0006444156,0.00001758217,0.002030339],"genre_scores_gemma":[0.9882807,0.0007809644,0.004351008,0.00008268819,0.00001550003,0.00008902641,0.002249038,0.00001158784,0.004139503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008122611,"threshold_uncertainty_score":0.01615071,"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."}}