{"id":"W2991643208","doi":"10.4155/ebo.13.373","title":"The application of nanoparticles for wastewater remediation","year":2013,"lang":"en","type":"other","venue":"","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec","funders":"","keywords":"Environmental remediation; Wastewater; Environmental science; Waste management; Chemistry; Environmental chemistry; Environmental engineering; Contamination; Engineering; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00006188788,0.00008017437,0.00009311219,0.00002820023,0.00001172159,0.000010183,0.00007861599,0.00008225105,0.0002388233],"category_scores_gemma":[0.000009374211,0.00005214394,0.00002173802,0.00002023494,0.00002195967,0.00002005802,0.0000085219,0.00001308455,0.0001822306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002045629,"about_ca_system_score_gemma":0.000001938694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009986957,"about_ca_topic_score_gemma":0.000015737,"domain_scores_codex":[0.9995903,0.000006053981,0.0001699171,0.00006556958,0.00008196811,0.00008618369],"domain_scores_gemma":[0.9996973,0.00004209173,0.00007144979,0.0001678963,0.000004745039,0.00001657447],"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":[0.00000173383,0.000005071062,0.00002459909,0.0001124163,0.00002959404,6.812911e-9,0.00001676963,0.000123871,0.7294871,0.0006680759,0.2650049,0.004525911],"study_design_scores_gemma":[0.00009995911,0.000007122444,0.00005037137,0.00000858445,0.000009343938,5.921822e-8,0.000008674947,0.001675969,0.5360374,0.00007039012,0.4619652,0.00006693853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08601024,0.005662311,0.08759399,0.0007007438,0.00742181,0.01954676,0.0004918961,0.003852077,0.7887202],"genre_scores_gemma":[0.2012076,0.001101611,0.008384176,0.00002777769,0.0008192214,0.002355421,0.0002768669,0.0009550533,0.7848723],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1969603,"threshold_uncertainty_score":0.2614948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005740651831910696,"score_gpt":0.195480102983628,"score_spread":0.1897394511517173,"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."}}