{"id":"W7126228724","doi":"10.5281/zenodo.18440562","title":"Comparison of Government Rules for Remediation of Abandoned Mine Sites","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Environmental remediation; Private sector; Mining industry; Public policy","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":[0.01099797,0.0002351112,0.0006238453,0.002875843,0.002592981,0.006613661,0.001496518,0.001839778,0.002495564],"category_scores_gemma":[0.03954916,0.0003790865,0.0007334132,0.002977618,0.002288251,0.001121101,0.001063842,0.001392089,0.0003761969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01949276,"about_ca_system_score_gemma":0.02110208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2460356,"about_ca_topic_score_gemma":0.369349,"domain_scores_codex":[0.9810632,0.003285244,0.001225551,0.001003285,0.01064934,0.002773458],"domain_scores_gemma":[0.9399378,0.0305273,0.006426429,0.004376593,0.01701674,0.001715136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001516531,0.0007610776,0.2486392,0.0007059631,0.0005370133,0.001258074,0.004731054,0.1321811,0.005970837,0.4455293,0.03413502,0.1240349],"study_design_scores_gemma":[0.0005138234,0.0006315773,0.5115535,0.0007363131,0.0006069164,0.0006273218,0.01833855,0.08911674,0.009836453,0.07290676,0.2947894,0.0003426077],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7055158,0.001436266,0.009579776,0.004689638,0.0001511063,0.0005763899,0.001726286,0.0002557594,0.276069],"genre_scores_gemma":[0.9861764,0.000327196,0.004262752,0.000489579,0.00002090553,0.0001104764,0.0005164083,0.00003865017,0.008057615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2460356,"threshold_uncertainty_score":0.489207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739383210567075,"score_gpt":0.2503384145032633,"score_spread":0.2229445823975925,"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."}}