{"id":"W2055571895","doi":"10.5539/ep.v2n2p49","title":"Environmental Pollution and Nanotechnology","year":2013,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental remediation; Pollution; Pollutant; Environmental pollution; Nanotechnology; Environmental science; Pollution prevention; Nanoparticle; Materials science; Contamination; Waste management; Chemistry; Environmental protection; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005442574,0.0001489301,0.000112453,0.00006587712,0.00007568651,0.00002306936,0.00003863301,0.0001273795,0.000638979],"category_scores_gemma":[0.000002647185,0.0001506301,0.0000155395,0.00002085763,0.0001535186,0.0002287483,0.00005060325,0.00006533182,0.0003979082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049362,"about_ca_system_score_gemma":8.777739e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007340429,"about_ca_topic_score_gemma":4.272864e-7,"domain_scores_codex":[0.9993413,0.00001884541,0.0001658412,0.0001725155,0.00010557,0.0001959015],"domain_scores_gemma":[0.9997684,0.000006049636,0.0000290211,0.0001178653,3.112582e-7,0.00007836134],"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":[0.000002715632,0.00001680163,0.005236103,0.00001082088,0.00001554797,6.874154e-7,0.00009937391,0.000381001,0.9553126,0.0001420876,0.0002376236,0.03854468],"study_design_scores_gemma":[0.0008552576,0.0001181473,0.8476466,0.00001202016,0.00003221337,0.00003571033,0.0001760031,0.004052017,0.123128,0.0009784764,0.02249027,0.0004752926],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972585,0.0009954572,0.0006739588,0.00038147,0.0001199559,0.0002610302,0.00001686124,0.0001173273,0.0001754725],"genre_scores_gemma":[0.9960423,0.002968311,0.000593444,0.00008782338,0.00004728273,0.00004872123,0.00001810133,0.00002097495,0.0001730387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8424105,"threshold_uncertainty_score":0.6996372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003123420556298844,"score_gpt":0.1501538404167656,"score_spread":0.1470304198604667,"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."}}