{"id":"W2061741415","doi":"10.2478/amsc-2014-0022","title":"Application of GIS Methods in Assessing Effects of Mining Activity on Surface Infrastructure/Zastosowanie Metod Gis W Ocenie Wpływu Działalności Górniczej Na Infrastrukturę Na Powierzchni","year":2014,"lang":"en","type":"article","venue":"Archives of Mining Sciences","topic":"Geotechnical and Mining Engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Politechnika Wrocławska","keywords":"Displacement (psychology); Data mining; Subsidence; Curvature; Field (mathematics); Geographic information system; Tilt (camera); Deformation (meteorology); Process (computing); Surface (topology); Geodesy; Geography; Computer science; Geology; Mathematics; Geotechnical engineering; Remote sensing; Mining engineering; Geometry; Geomorphology; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001968149,0.0006521067,0.0003902488,0.007971477,0.0002332617,0.001793819,0.0003546397,0.0003945984,0.001564377],"category_scores_gemma":[0.002629632,0.0002742661,0.0004585233,0.005223824,0.0006594842,0.0007119305,0.0009617804,0.0003096112,0.0003056816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005461903,"about_ca_system_score_gemma":0.0006472206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00742426,"about_ca_topic_score_gemma":0.007755158,"domain_scores_codex":[0.9984798,0.0008093815,0.00008959912,0.0001107626,0.0004494356,0.00006102116],"domain_scores_gemma":[0.9984908,0.0008604573,0.0001527412,0.0001028441,0.0003231539,0.00007000192],"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":[0.0005571428,0.0002706924,0.2722547,0.0009334596,0.0004909767,0.001265902,0.002486175,0.1742975,0.01728448,0.01665929,0.002295344,0.5112043],"study_design_scores_gemma":[0.00008111669,0.0005410258,0.3497908,0.000302709,0.0002757056,0.001366128,0.009855877,0.5798538,0.02039278,0.01945401,0.01789365,0.000192457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6777813,0.001779642,0.2989776,0.0005459024,0.00006722668,0.0004423249,0.002258951,0.0008284767,0.01731852],"genre_scores_gemma":[0.883224,0.0007845624,0.1141963,0.00001932665,0.00001301264,0.0001353807,0.0003889691,0.00003988914,0.001198539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007971477,"threshold_uncertainty_score":0.0147621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0091501194094984,"score_gpt":0.2795658027058232,"score_spread":0.2704156832963248,"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."}}