{"id":"W4248641604","doi":"10.17580/gzh.2015.05.21","title":"Mitigation of geoecological impact of underground potash mining","year":2015,"lang":"en","type":"article","venue":"Gornyi Zhurnal","topic":"Mining and Gasification Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Potash; Mining engineering; Environmental science; Geology; Metallurgy; Potassium; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002723397,0.0003185645,0.0002479186,0.0005612883,0.0004089772,0.0007913211,0.0007393957,0.0006338276,0.002061214],"category_scores_gemma":[0.0003965964,0.00007678113,0.0003267129,0.0005260672,0.0004285688,0.0006185539,0.0009328825,0.0003122194,0.0002550495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363401,"about_ca_system_score_gemma":0.001990499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005281968,"about_ca_topic_score_gemma":0.01173489,"domain_scores_codex":[0.9997004,0.00005885628,0.00001107428,0.00003415631,0.0001165765,0.00007901374],"domain_scores_gemma":[0.9996505,0.00005495107,0.0001052043,0.00002797887,0.0001217752,0.00003957894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007200498,0.0005651952,0.09697656,0.003981986,0.0003145401,0.005187707,0.001602392,0.05987213,0.1838237,0.02901488,0.00618725,0.6117536],"study_design_scores_gemma":[0.0001063912,0.003996579,0.3973045,0.002150011,0.0006091836,0.005078399,0.02222188,0.05082447,0.2186795,0.04125335,0.2575856,0.0001900577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8386009,0.01880551,0.05239302,0.006395647,0.0003685637,0.000279552,0.0003398037,0.0002826259,0.08253432],"genre_scores_gemma":[0.9847788,0.004342953,0.005342224,0.0001085265,0.00003040234,0.00001640146,0.00006739936,0.00001186655,0.005301308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005281968,"threshold_uncertainty_score":0.0105024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03693915549773862,"score_gpt":0.2727458076631604,"score_spread":0.2358066521654218,"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."}}