{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001538703,0.001022929,0.001240246,0.0006072535,0.0009173253,0.001090408,0.0009869913,0.001553685,0.002394923],"category_scores_gemma":[0.001232902,0.0003201185,0.0009966234,0.0007583994,0.0006143457,0.0009763444,0.0006659311,0.0007760478,0.0005882913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380403,"about_ca_system_score_gemma":0.001111957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006903273,"about_ca_topic_score_gemma":0.01585079,"domain_scores_codex":[0.998302,0.0004522989,0.0001077673,0.0003728025,0.000543318,0.0002218554],"domain_scores_gemma":[0.9986799,0.0002578811,0.0002142121,0.0000880359,0.0005908093,0.0001691178],"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":[0.008615926,0.005545095,0.003671003,0.0009072701,0.0002484417,0.0001677476,0.0002716756,0.002903866,0.9534702,0.00006467875,0.0006254769,0.02350845],"study_design_scores_gemma":[0.001174233,0.07603759,0.01614433,0.00005285946,0.0005158533,0.0003150348,0.0005632599,0.002271214,0.8984885,0.0001219013,0.004248218,0.00006707371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958706,0.0006187131,0.00136266,0.0001014051,0.00002932073,0.0003646874,0.0004733963,0.00004834959,0.001130754],"genre_scores_gemma":[0.9798357,0.001720046,0.01020656,0.0001148955,0.00004990394,0.0004029593,0.0007152825,0.00004696552,0.006907674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006903273,"threshold_uncertainty_score":0.01372617,"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."}}