{"id":"W2146594186","doi":"10.1007/s12665-010-0865-z","title":"Arsenic removal from aqueous solutions by mixed magnetite–maghemite nanoparticles","year":2010,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":160,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maghemite; Arsenic; Magnetite; Adsorption; Chemistry; Iron oxide; Langmuir adsorption model; X-ray photoelectron spectroscopy; Inorganic chemistry; Nuclear chemistry; Chemical engineering; Materials science; Metallurgy; 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":[0.0003121564,0.0001629617,0.0001092011,0.00002992652,0.0006091659,0.00007431021,0.0003263043,0.00007712776,0.01692901],"category_scores_gemma":[0.00003159181,0.0001534594,0.0000626223,0.0001764605,0.001438818,0.0004787688,0.0002247541,0.0001851326,0.002609932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003100718,"about_ca_system_score_gemma":0.00001216372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003776218,"about_ca_topic_score_gemma":0.00105051,"domain_scores_codex":[0.9982492,0.00005469043,0.0002319387,0.0005103283,0.0005495126,0.0004043602],"domain_scores_gemma":[0.99941,0.00007079309,0.00009595593,0.0002424283,0.000001248661,0.0001795497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00000300772,0.00008240501,0.0131214,3.093584e-7,0.000002586004,0.000004769542,0.0002321108,0.00003782522,0.9439726,0.00009764538,0.00185925,0.04058604],"study_design_scores_gemma":[0.0008298774,0.0002067536,0.4135223,0.000008503652,0.00003257213,0.00007555793,0.0009405984,0.009785167,0.2682573,0.001601361,0.3040356,0.0007045312],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888456,0.0001229177,0.000109861,0.0007059121,0.0003652365,0.0001651074,0.00006254874,0.00006108293,0.009561718],"genre_scores_gemma":[0.9909427,0.00003718551,0.00419256,0.0003550709,0.00004815902,0.00001318059,0.00004251938,0.000009690157,0.004358938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6757154,"threshold_uncertainty_score":0.9981667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006400919240767944,"score_gpt":0.1868928680090768,"score_spread":0.1804919487683088,"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."}}