{"id":"W4391322738","doi":"10.3390/toxics12020107","title":"Microbially Induced Calcium Carbonate Precipitation as a Bioremediation Technique for Mining Waste","year":2024,"lang":"en","type":"article","venue":"Toxics","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Bioremediation; Environmental remediation; Leachate; Environmental chemistry; Chemistry; Sorption; Carbonate; Precipitation; Calcium carbonate; Metalloid; Carbonate minerals; Metal; Environmental science; Contamination; Adsorption","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":[],"consensus_categories":[],"category_scores_codex":[0.0003335385,0.0001085343,0.00009075228,0.00006588516,0.00008780215,0.0000854153,0.0001380711,0.0001141981,0.0004180137],"category_scores_gemma":[0.00006461666,0.0001122169,0.00004132494,0.0002496661,0.00006061753,0.0001551258,0.00006822871,0.00005646543,0.0002716179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002252502,"about_ca_system_score_gemma":0.00003977336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004945472,"about_ca_topic_score_gemma":0.00002616032,"domain_scores_codex":[0.9991545,0.0000282329,0.0002467189,0.0002973736,0.0001116105,0.0001615744],"domain_scores_gemma":[0.9996403,0.00006596364,0.00006589098,0.0001711258,0.00001568426,0.00004100581],"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":[0.000007837024,0.000008937086,0.00002551412,0.00002210622,0.000005414544,4.214837e-7,0.0003058037,0.00009849945,0.9918006,0.0006611588,0.001830271,0.005233409],"study_design_scores_gemma":[0.00009724068,0.00004128128,0.00006636132,0.00002889546,0.00001716641,0.00001577026,0.00005298345,0.000731604,0.9819495,0.002497752,0.01435116,0.0001502867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572608,0.00001364314,0.03677189,0.0004811876,0.0008206526,0.001254176,0.00005711658,0.0001882111,0.003152307],"genre_scores_gemma":[0.954707,0.000005087425,0.04393728,0.0001132106,0.0001897707,0.0004332812,0.00004549901,0.00002837681,0.0005404422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01252089,"threshold_uncertainty_score":0.4576957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145272626018083,"score_gpt":0.2877463032297531,"score_spread":0.2662935769695722,"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."}}