{"id":"W2796305572","doi":"10.2307/1504672","title":"Preserving Battlefield Terrain: Technologies for Earthworks Management","year":2000,"lang":"en","type":"article","venue":"APT Bulletin","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earthworks; Battlefield; Terrain; Engineering; Geology; Computer science; Construction engineering; Geography; Geotechnical engineering; History; Cartography; Ancient history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004350902,0.0005087575,0.0001997838,0.001143263,0.0005718163,0.002288463,0.0005892228,0.001064792,0.01092012],"category_scores_gemma":[0.0008577261,0.0002817984,0.0001574924,0.001380154,0.0007200399,0.003619869,0.0008295145,0.0007339389,0.004776856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057652,"about_ca_system_score_gemma":0.0003881814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002514468,"about_ca_topic_score_gemma":0.008291806,"domain_scores_codex":[0.9997366,0.0000356801,0.00001368211,0.00002489433,0.0001692395,0.00001981277],"domain_scores_gemma":[0.9997137,0.00008214953,0.00001953431,0.00003434097,0.0001131804,0.00003696405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004390843,0.00003586884,0.0005819504,0.0003642976,0.000009439962,0.0001230957,0.0004493951,0.0008258254,0.01107886,0.02552228,0.1485443,0.8124208],"study_design_scores_gemma":[0.00001590684,0.00005791807,0.002300917,0.0002707557,0.00002444737,0.0008095748,0.0006331632,0.004948263,0.01166754,0.01938404,0.9598601,0.00002745875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01505959,0.1429685,0.5066299,0.02472718,0.002949443,0.000214388,0.0007112286,0.008311625,0.2984282],"genre_scores_gemma":[0.168042,0.1802106,0.4136193,0.003276532,0.002050071,0.0001669571,0.001273331,0.0008338181,0.2305274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01092012,"threshold_uncertainty_score":0.03653139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006524881931290956,"score_gpt":0.2086651209565897,"score_spread":0.2021402390252988,"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."}}