{"id":"W2025115321","doi":"10.1117/12.462200","title":"&lt;title&gt;Imaging the past: archaeological radar stratigraphic analysis at Mahram Bilqis&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ground-penetrating radar; Geology; Radar; Geophysical survey; Identification (biology); Remote sensing; Archaeology; Geophysics; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002207007,0.00020126,0.0002580734,0.00008043084,0.0000772143,0.00004917907,0.0005440837,0.00009510753,0.0002177928],"category_scores_gemma":[0.00009155993,0.0001431022,0.0005345974,0.0005193184,0.0002027301,0.0001056756,0.00009456404,0.0002318276,0.00003005682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005818913,"about_ca_system_score_gemma":0.000003859901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001187652,"about_ca_topic_score_gemma":1.198693e-7,"domain_scores_codex":[0.9988145,3.041027e-8,0.0003336841,0.0002253249,0.0003603383,0.0002661833],"domain_scores_gemma":[0.9993565,0.000117983,0.00009726488,0.00007329036,0.0002761607,0.00007879056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007320929,0.000080306,0.0005010244,0.0001691637,0.0008236277,1.600711e-7,0.0001171141,0.0003408616,0.2186688,0.754259,0.02203418,0.00299836],"study_design_scores_gemma":[0.001097001,0.0002226292,0.01826185,0.000213886,0.001610158,0.00003347469,0.0004746291,0.6741307,0.02240862,0.01698944,0.2631809,0.001376665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644357,0.0003394903,0.000317437,0.001861777,0.0001454649,0.0002576589,0.00003506075,0.0001433915,0.03246404],"genre_scores_gemma":[0.9160889,0.0003160913,0.08151911,0.00009626796,0.0005877705,0.0001472529,0.000009837768,0.00006040165,0.001174349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7372696,"threshold_uncertainty_score":0.5835537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303163548717892,"score_gpt":0.2251969504928622,"score_spread":0.2121653150056833,"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."}}