{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002264398,0.0005516042,0.0002913823,0.0009410582,0.000389235,0.0008559561,0.0002906495,0.0006395903,0.003596578],"category_scores_gemma":[0.0001628969,0.0001523954,0.0003826146,0.000530545,0.0002877339,0.0005969654,0.0006823956,0.000477233,0.001555679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006097546,"about_ca_system_score_gemma":0.0003633167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006499527,"about_ca_topic_score_gemma":0.001256784,"domain_scores_codex":[0.9998106,0.00002092513,0.000008120184,0.00004722468,0.00008953572,0.00002360497],"domain_scores_gemma":[0.9999571,0.00001039227,0.000004915913,0.000005261275,0.00001805023,0.000004393311],"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":[0.00007012652,0.0001461287,0.0004635482,0.00225801,0.00003502798,0.0006166406,0.0001644156,0.002619321,0.5119838,0.04151065,0.01136415,0.4287682],"study_design_scores_gemma":[0.00000820122,0.0001395662,0.0005093109,0.0001750008,0.00002979431,0.0009373416,0.00008367877,0.003577815,0.4217368,0.005474611,0.567306,0.00002190612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0879849,0.34213,0.1162123,0.003617091,0.002117392,0.0002334397,0.0003619358,0.001011738,0.4463312],"genre_scores_gemma":[0.4259852,0.2937588,0.07708485,0.001335219,0.0006599749,0.0001732626,0.0004268991,0.0002798493,0.200296],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003596578,"threshold_uncertainty_score":0.01203173,"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."}}