{"id":"W4400785717","doi":"10.58286/30027","title":"Multi-Energy Radiography of Organic Materials","year":2024,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Nuclear Laboratories","keywords":"Radiography; Energy (signal processing); Environmental science; Medicine; Radiology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002190123,0.0001598715,0.0003039332,0.00033422,0.00003760823,0.00004281611,0.0001614456,0.00004413712,0.00007233406],"category_scores_gemma":[0.0001469762,0.0001460602,0.00009510629,0.0006259823,0.00006030331,0.0004229381,0.00002318792,0.0002121758,0.000003246367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005280068,"about_ca_system_score_gemma":0.0000400043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005118197,"about_ca_topic_score_gemma":9.677948e-7,"domain_scores_codex":[0.9989957,0.00002642561,0.0005127906,0.0001037821,0.0001612912,0.0002000057],"domain_scores_gemma":[0.9993353,0.0001936387,0.000148197,0.00009567358,0.0001620559,0.00006510878],"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":[0.000008461166,0.00001174194,0.001305185,0.0001562716,0.000148047,0.0001145355,0.0002806493,0.002968578,0.9838418,0.0002240652,0.00004264713,0.010898],"study_design_scores_gemma":[0.00139963,0.0003703896,0.01868613,0.002908658,0.0003093751,0.004014691,0.001015893,0.01553336,0.9392481,0.01477785,0.0008481181,0.0008878037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8561264,0.005186547,0.1363552,0.00001149423,0.001449129,0.00004403112,0.00001113768,0.000177125,0.0006389834],"genre_scores_gemma":[0.8959274,0.00004703345,0.1036814,0.00000623828,0.0002784987,9.920133e-7,7.113479e-7,0.00004557304,0.00001217385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04459371,"threshold_uncertainty_score":0.5956162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407584462663688,"score_gpt":0.2314630809909401,"score_spread":0.2173872363643032,"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."}}