{"id":"W1998305069","doi":"10.1016/s0734-9750(03)00055-7","title":"Phytoremediation: synergistic use of plants and bacteria to clean up the environment","year":2003,"lang":"en","type":"review","venue":"Biotechnology Advances","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":785,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Phytoremediation; Bacteria; Biomass (ecology); Plant growth; Germination; Contamination; Environmental science; Clean-up; Hazardous waste; Greenhouse; Environmental remediation; Phytoextraction process; Biology; Agronomy; Chemistry; Hyperaccumulator; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004848842,0.001494237,0.002149725,0.00144491,0.0003588895,0.001256567,0.001338796,0.001911202,0.002110242],"category_scores_gemma":[0.0003030029,0.0002833453,0.0004152586,0.002216262,0.0006461251,0.001270476,0.0005163454,0.001406481,0.002195196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005575388,"about_ca_system_score_gemma":0.000755257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348117,"about_ca_topic_score_gemma":0.003392555,"domain_scores_codex":[0.9998271,0.00001560484,0.00001597535,0.00003656833,0.00008849093,0.00001638711],"domain_scores_gemma":[0.9997646,0.00008916698,0.0000360892,0.00001214435,0.00007042444,0.00002749617],"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":[0.0001138128,0.0001276089,0.0001880002,0.008420747,0.00008451157,0.0003880985,0.00005405822,0.0005590492,0.0223541,0.001976544,0.0109241,0.9548093],"study_design_scores_gemma":[0.00004009873,0.0002810534,0.001141387,0.00108015,0.0001900408,0.002879671,0.0001233993,0.0002928228,0.01249903,0.001890964,0.9795467,0.0000344814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005681625,0.9961941,0.001186998,0.0002648301,0.000304003,0.000006055798,0.00001621704,0.00002041274,0.001439186],"genre_scores_gemma":[0.002151662,0.9946549,0.001002498,0.0002388855,0.0001481104,0.000008347097,0.00004095273,0.00000272443,0.001751954],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002149725,"threshold_uncertainty_score":0.007059455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04356831668470282,"score_gpt":0.2552734393657241,"score_spread":0.2117051226810213,"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."}}