{"id":"W4385657897","doi":"10.1016/j.conbuildmat.2023.132894","title":"Effect of chemical environment on copper tailings reinforced by microbially induced carbonate precipitation","year":2023,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Key Research and Development Program of China; Chongqing Municipal Education Commission; National Natural Science Foundation of China","keywords":"Tailings; Copper; Beneficiation; Precipitation; Carbonate; Environmental chemistry; Metallurgy; Environmental science; Chemistry; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005834665,0.0001855721,0.0002747327,0.00007791893,0.00009475334,0.00005463825,0.000120375,0.0001369701,0.001130037],"category_scores_gemma":[0.00007034578,0.0001737035,0.00003418747,0.0001629528,0.0003240168,0.0001082785,0.0001381152,0.00005819345,0.0002149752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009047539,"about_ca_system_score_gemma":0.000006165065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005165108,"about_ca_topic_score_gemma":1.249714e-7,"domain_scores_codex":[0.9986987,0.0001241614,0.0004347006,0.000370045,0.0001749266,0.0001975384],"domain_scores_gemma":[0.9993789,0.00009974733,0.000244039,0.0002077159,0.000008321672,0.00006129675],"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":[0.0001055226,0.000004515104,0.0001572174,0.00003548111,0.00001012571,2.284808e-7,0.00004356932,0.00007223396,0.9929852,0.000345022,0.0009088907,0.005331985],"study_design_scores_gemma":[0.0005094842,0.00009204952,0.00008588143,0.00003069241,0.00002022149,0.00001901279,0.00001116736,0.00002165959,0.9975298,0.0001249202,0.001396954,0.0001581557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984922,0.000002017383,0.00004912461,0.00009129405,0.000476604,0.0004588264,0.0000547212,0.0001030007,0.0002721837],"genre_scores_gemma":[0.9980431,0.00002776473,0.001643133,0.00003759716,0.00004514996,0.00005567364,0.00005463365,0.0000195454,0.0000733682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005173829,"threshold_uncertainty_score":0.999783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005617401609381617,"score_gpt":0.2278279616398414,"score_spread":0.2222105600304597,"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."}}