{"id":"W2751662440","doi":"","title":"Combined remediation technologies: results from field trials at chlorinated solvent impacted sites","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Environmental remediation; Field (mathematics); Environmental science; Chlorinated solvents; Waste management; Environmental chemistry; Chemistry; Contamination; Engineering; Biology; Ecology; Mathematics","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001563763,0.0002793543,0.0004835491,0.0001303122,0.00006303529,0.00006991806,0.000240254,0.0003357878,0.000009939236],"category_scores_gemma":[0.01305369,0.0002633142,0.0000759156,0.0001671696,0.00003135388,0.0002115314,0.00009978515,0.0001816045,0.0003341996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004190439,"about_ca_system_score_gemma":0.00002293646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114919,"about_ca_topic_score_gemma":0.0005435303,"domain_scores_codex":[0.9976119,0.00008984566,0.00116577,0.0003221866,0.0004267327,0.0003835885],"domain_scores_gemma":[0.9974563,0.001459622,0.0004503085,0.0004169837,0.00005220015,0.0001646355],"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":[0.000748019,0.0001146721,0.02282327,0.00004768638,0.0001896596,0.00005053612,0.001180796,0.04241298,0.9137497,0.000003842944,0.01697278,0.001706036],"study_design_scores_gemma":[0.003337601,0.000171468,0.03426296,0.0001367366,0.00005502222,0.000001760202,0.000316486,0.001793026,0.9572914,0.0002492919,0.001972238,0.0004120106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937438,0.0002026353,0.00001657039,0.0004309459,0.001041543,0.0004198082,0.0001195658,0.001554215,0.002470912],"genre_scores_gemma":[0.9977763,0.0001590737,0.0009793006,0.00004084577,0.0001953983,0.00003499251,0.0006863913,0.00004772106,0.00007996187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04354167,"threshold_uncertainty_score":0.9999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03864753908785784,"score_gpt":0.253200011892844,"score_spread":0.2145524728049861,"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."}}