{"id":"W4361267983","doi":"10.3390/microorganisms11040891","title":"Use of Microbial Consortia in Bioremediation of Metalloid Polluted Environments","year":2023,"lang":"en","type":"review","venue":"Microorganisms","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metalloid; Bioremediation; Microorganism; Environmental chemistry; Environmental science; Pollutant; Contamination; Heavy metals; Biology; Ecology; Chemistry; Bacteria; Metal","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000619252,0.0005106771,0.00178272,0.0002744218,0.00003026595,0.00001221118,0.000577642,0.000459669,0.001731237],"category_scores_gemma":[0.0001039084,0.0004812638,0.0003767791,0.0007444817,0.0005803719,0.0001626893,0.0006600082,0.0003233607,0.001784987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006182892,"about_ca_system_score_gemma":0.00005077075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002824927,"about_ca_topic_score_gemma":0.0000614751,"domain_scores_codex":[0.9962625,0.0003760994,0.001704556,0.0006862137,0.0005152342,0.0004553946],"domain_scores_gemma":[0.9979544,0.0002117752,0.0009968231,0.0007279232,0.000002338149,0.000106716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000145992,0.000762373,0.0006387872,0.003640584,0.0003748705,0.00004252021,0.0003762862,0.0002430131,0.6628268,0.00001278598,0.0009482629,0.3301191],"study_design_scores_gemma":[0.0002923087,0.00006403198,0.001278347,0.001366331,0.0005143288,0.000012468,0.00001170198,0.00000497751,0.04515266,0.00001686579,0.9507614,0.0005246219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03179207,0.9622415,0.000393048,0.00002744254,0.0006843713,0.00370569,0.0009459881,0.00007561594,0.0001342234],"genre_scores_gemma":[0.0005565618,0.9939319,0.00406841,0.00002463449,0.00002398903,0.00004117552,0.0001954629,0.0001454517,0.001012391],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9498131,"threshold_uncertainty_score":0.9997639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09274819019380746,"score_gpt":0.2983403792136689,"score_spread":0.2055921890198614,"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."}}