{"id":"W2585963943","doi":"10.1016/b978-1-4557-3116-9.00028-7","title":"Nanotechnology for Contaminated Subsurface Remediation","year":2014,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Environmental remediation; Groundwater; Environmental science; Contamination; Hazardous waste; Waste management; Groundwater remediation; Contaminated groundwater; Human decontamination; Environmental engineering; Engineering; Ecology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002217635,0.0003964322,0.0005308327,0.0001538353,0.00004796573,0.00002166605,0.0002171196,0.0007615744,0.0001461893],"category_scores_gemma":[0.00004071378,0.0004302678,0.0001207524,0.000008081991,0.00008578637,0.00002660646,0.00004019544,0.0001941604,0.000356798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002412297,"about_ca_system_score_gemma":0.00001659472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.735623e-8,"about_ca_topic_score_gemma":0.000007765344,"domain_scores_codex":[0.9986715,0.00001190904,0.0005178286,0.0003140921,0.0002000002,0.0002846501],"domain_scores_gemma":[0.9991735,0.0001090749,0.0001908714,0.0004172584,0.00003580411,0.00007344258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001481307,0.000002516013,0.00000491999,0.0002994521,0.0001265997,0.000003569201,0.00006361874,0.0001358496,0.03181142,0.00370881,0.0005036573,0.9633248],"study_design_scores_gemma":[0.0004900101,0.0000627317,0.00001312981,0.0001206948,0.00008089503,0.000003937033,0.000001654489,0.0003278095,0.03377038,0.002172153,0.9625108,0.00044575],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002658193,0.0008689283,0.001525817,0.0000551362,0.002437221,0.0021088,0.0001850588,0.00107091,0.98909],"genre_scores_gemma":[0.03097877,0.0002414301,0.001103958,0.00009168694,0.0003340085,0.0001942346,0.000299378,0.0002721923,0.9664844],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.962879,"threshold_uncertainty_score":0.9998149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008278642877808233,"score_gpt":0.1974828816925988,"score_spread":0.1892042388147905,"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."}}