{"id":"W2155710048","doi":"10.1515/gps-2013-0103","title":"Phytoextraction as a tool for green chemistry","year":2014,"lang":"en","type":"article","venue":"Green Processing and Synthesis","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Phytoremediation; Tailings; Sustainability; Phytoextraction process; Waste management; Resource (disambiguation); Environmental science; Hazard; Chemical industry; Engineering; Business; Heavy metals; Environmental engineering; Chemistry; Hyperaccumulator; Computer science; Environmental chemistry","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":[0.0002642948,0.0003246373,0.000328814,0.0004997379,0.000267249,0.0006368937,0.0002694804,0.0005754069,0.001689923],"category_scores_gemma":[0.0001735473,0.0002144579,0.0003888304,0.0003932577,0.0004266241,0.0005022704,0.0005051584,0.000941874,0.001065698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004648329,"about_ca_system_score_gemma":0.0003095852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003332371,"about_ca_topic_score_gemma":0.0008652411,"domain_scores_codex":[0.9997626,0.00004136049,0.00001243352,0.00005084716,0.0001134106,0.00001938226],"domain_scores_gemma":[0.9998565,0.00005619726,0.00002265184,0.00001911924,0.00003625566,0.000009307601],"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":[0.00002814787,0.00002942291,0.0001662826,0.0005717741,0.00001824453,0.0001533547,0.00003642508,0.0003823768,0.9692535,0.002876789,0.0006140533,0.02586951],"study_design_scores_gemma":[0.000004164877,0.0001024608,0.0004399109,0.00006983992,0.00001775099,0.0002476572,0.00003616054,0.001130184,0.944437,0.001486677,0.05201693,0.00001136423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3332112,0.1336142,0.4569696,0.004347292,0.001756096,0.0003028321,0.001063492,0.001687022,0.06704827],"genre_scores_gemma":[0.8027427,0.04575038,0.1198758,0.001198885,0.000167547,0.0001328999,0.0004089832,0.0001647718,0.02955806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001689923,"threshold_uncertainty_score":0.005653322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596698479868275,"score_gpt":0.2546446863790343,"score_spread":0.2386777015803516,"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."}}