{"id":"W2022219606","doi":"10.1117/12.420922","title":"<title>Design and implementation of a dual-energy x-ray imaging system for organic material detection in an airport security application</title>","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Detector; Computer science; Energy (signal processing); Filter (signal processing); Explosive material; Process (computing); Flat panel detector; Decoding methods; Optics; Algorithm; Computer vision; Physics; Telecommunications","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":[0.0002404041,0.000138372,0.0001789013,0.00007631812,0.00003140414,0.00003285088,0.0001549896,0.00006417534,0.00001489788],"category_scores_gemma":[0.00002569181,0.0001359753,0.00009280222,0.0001475786,0.00004156123,0.0002981353,0.00002782635,0.00007355132,8.099227e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117592,"about_ca_system_score_gemma":0.00001124437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003832025,"about_ca_topic_score_gemma":5.105655e-7,"domain_scores_codex":[0.9991444,2.534834e-8,0.0003450717,0.0001654343,0.0001764063,0.0001686825],"domain_scores_gemma":[0.9994649,0.00002955054,0.0001208031,0.00003278665,0.0003113079,0.00004062677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003147572,0.0000243194,0.00008589011,0.0004015048,0.00007039163,8.074486e-8,0.0001265232,0.0004014712,0.9031949,0.09273688,0.0003313018,0.002595282],"study_design_scores_gemma":[0.001235521,0.0001645898,0.0005853567,0.0002427414,0.0001247396,0.0000356145,0.001498276,0.4283548,0.5573704,0.002275492,0.007662638,0.0004497838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878358,0.00009346546,0.01045104,0.00007079691,0.0001901628,0.0003463365,0.00002439587,0.00009465298,0.0008933783],"genre_scores_gemma":[0.9787408,0.00006327754,0.02078739,0.000008172307,0.0002004472,0.0001266775,0.00001056779,0.00004017321,0.00002247499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4279534,"threshold_uncertainty_score":0.554491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005595506432128321,"score_gpt":0.2211464278247099,"score_spread":0.2155509213925815,"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."}}