{"id":"W4205865618","doi":"10.3390/forensicsci2010006","title":"Detection of Single Burials Using Multispectral Drone Data: Three Case Studies","year":2022,"lang":"en","type":"article","venue":"Forensic Sciences","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Multispectral image; Limiting; Vegetation (pathology); Drone; Archaeology; Geography; Natural (archaeology); Physical geography; Remote sensing; Biology; 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":[0.001254605,0.0003526171,0.0002225233,0.00134956,0.0008301784,0.0007424385,0.0007325962,0.0009923815,0.0005555294],"category_scores_gemma":[0.003179955,0.0002003922,0.0002805317,0.001204367,0.0006469128,0.0005464387,0.0007710911,0.0004617194,0.0001842922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007005793,"about_ca_system_score_gemma":0.0002988731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0224726,"about_ca_topic_score_gemma":0.07824298,"domain_scores_codex":[0.9991517,0.0002275877,0.00008427495,0.0001544146,0.0002433837,0.0001386047],"domain_scores_gemma":[0.9966484,0.001388413,0.000648818,0.0003293649,0.0007856339,0.0001993193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004201397,0.0004881558,0.8743451,0.0003321007,0.0001841003,0.03371919,0.0136341,0.004393387,0.01137968,0.0007461125,0.001669342,0.05868857],"study_design_scores_gemma":[0.00003547002,0.0006700467,0.8906735,0.0002072579,0.0002268881,0.03609541,0.02952521,0.01681605,0.01529597,0.0008424583,0.009493533,0.0001181143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959452,0.0002019405,0.002454955,0.0001037902,0.000007142615,0.00004906742,0.0001608041,0.00001548761,0.001061654],"genre_scores_gemma":[0.9935866,0.0003221253,0.005225706,0.00004145255,0.000006969036,0.00002043194,0.0001794632,0.000009111824,0.0006080919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0224726,"threshold_uncertainty_score":0.04468358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2856845399452321,"score_gpt":0.3612717658272628,"score_spread":0.07558722588203065,"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."}}