{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001752961,0.00007730102,0.0001542603,0.0001223912,0.001196086,0.00002190847,0.0003474475,0.00001911998,0.0005546104],"category_scores_gemma":[0.0005549896,0.00005626329,0.00003065922,0.0006163981,0.001058427,0.0003362056,0.0002047667,0.0001255092,0.000005431995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001363742,"about_ca_system_score_gemma":0.00006319577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008817711,"about_ca_topic_score_gemma":0.02514269,"domain_scores_codex":[0.9984531,0.0001802516,0.0001936825,0.000327496,0.0005411514,0.0003042679],"domain_scores_gemma":[0.9992538,0.0003460519,0.0001087038,0.0001853437,0.00004221394,0.00006389157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003712676,0.00005772805,0.05234375,0.00005765532,0.00009690433,0.0007210607,0.001432875,0.05294902,0.03774474,0.000186298,0.0001428309,0.8538958],"study_design_scores_gemma":[0.001582274,0.01635716,0.04989171,0.00006114665,0.0001190475,0.009612045,0.02256647,0.6467749,0.06488349,0.184465,0.002551265,0.001135502],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944786,0.001548407,0.002826239,0.0001091119,0.0005435978,0.0002092226,0.0001096452,0.00002391788,0.000151257],"genre_scores_gemma":[0.9932376,0.00002162425,0.006588647,0.00001852055,0.0001044987,0.000001888504,0.0000111626,0.000001184722,0.00001491269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8527604,"threshold_uncertainty_score":0.9977826,"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."}}