{"id":"W28214357","doi":"10.1111/mec.14064","title":"Analysis of Terrain Change Caused by Mining Development using GIS","year":2006,"lang":"en","type":"article","venue":"Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Triangulated irregular network; Raster graphics; Photogrammetry; Plan (archaeology); Process (computing); Computer science; Volume (thermodynamics); Elevation (ballistics); Mining engineering; Data mining; Remote sensing; Geology; Artificial intelligence; Cartography; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003770906,0.0004276329,0.0003593363,0.004849886,0.0002366756,0.0006354671,0.0003070529,0.0002217102,0.0025586],"category_scores_gemma":[0.001242993,0.0001557954,0.0005703878,0.005355686,0.0001196297,0.0003910746,0.000444698,0.0002229856,0.000509851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666418,"about_ca_system_score_gemma":0.0003755399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128476,"about_ca_topic_score_gemma":0.01550784,"domain_scores_codex":[0.999669,0.00005924423,0.0000437601,0.000067302,0.0001148074,0.00004595462],"domain_scores_gemma":[0.9995415,0.000135377,0.00009945322,0.00005122725,0.0001273832,0.00004508286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002325644,0.0001484966,0.7930449,0.0004224555,0.0005436928,0.001165577,0.0008636625,0.04496525,0.007106551,0.001218239,0.007905398,0.1423832],"study_design_scores_gemma":[0.00002144495,0.00007212941,0.834897,0.00005108452,0.0001208355,0.0003328097,0.00160428,0.1477076,0.001615965,0.0006513973,0.01288121,0.00004428897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439056,0.0003108785,0.01675677,0.0001302166,0.0000507562,0.0001651586,0.03037964,0.001840255,0.006460815],"genre_scores_gemma":[0.9735432,0.0001635808,0.01228912,0.00001056079,0.00001184798,0.00009399134,0.01310288,0.00005859578,0.0007262208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128476,"threshold_uncertainty_score":0.02243817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448369270102927,"score_gpt":0.2388217851229945,"score_spread":0.1943380924219652,"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."}}