{"id":"W1999966450","doi":"10.1071/en13011","title":"Copper and lead internalisation by freshwater microalgae at different carbonate concentrations","year":2013,"lang":"en","type":"article","venue":"Environmental Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chlamydomonas reinhardtii; Environmental chemistry; Bioaccumulation; Metal; Copper; Dissolved organic carbon; Biotic Ligand Model; Chemistry; Bioavailability; Context (archaeology); Metal toxicity; Metal ions in aqueous solution; Chlamydomonas; Chlorella vulgaris; Algae; Biology; Heavy metals; Botany; Biochemistry; Organic chemistry","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":["insufficient_payload"],"category_scores_codex":[0.00004083609,0.0002595894,0.0001736903,0.000007690423,0.0002462855,0.00003276037,0.0001703502,0.0001998798,0.05548322],"category_scores_gemma":[0.000004034373,0.0002414193,0.00005118851,0.00002436763,0.0007895703,0.0002004569,0.0004541478,0.0001990349,0.001606752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006968697,"about_ca_system_score_gemma":9.122298e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006479043,"about_ca_topic_score_gemma":0.00005448942,"domain_scores_codex":[0.9986663,0.00003884906,0.0002468365,0.0004891091,0.0001745275,0.0003843491],"domain_scores_gemma":[0.999469,0.00003300397,0.00008599982,0.0002248615,4.295776e-7,0.0001866798],"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":[0.000008559467,0.0001125037,0.2409967,0.000003946634,0.00001376456,0.000002440034,0.0001099785,0.00001401106,0.7418773,4.287336e-7,0.01664785,0.0002125717],"study_design_scores_gemma":[0.0005691186,0.00004578409,0.08956604,0.00000430205,0.00001806881,0.00004869471,0.0001152221,0.0003090565,0.8970165,0.00008421642,0.01192089,0.0003021203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897384,0.0001647672,0.000009100549,0.0003571167,0.00006377818,0.0002637249,0.00007914277,0.00002948627,0.009294456],"genre_scores_gemma":[0.9779578,0.0001269671,0.000100427,0.0006403455,0.00002914071,0.0001170546,0.0002332021,0.00002429091,0.02077078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1551392,"threshold_uncertainty_score":0.9991706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003716721466808198,"score_gpt":0.171913025231209,"score_spread":0.1681963037644008,"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."}}