{"id":"W2144641997","doi":"10.1088/1742-6596/56/1/046","title":"Assessment of CT dose in X-ray CT polyacrylamide gel dosimetry","year":2006,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Dosimetry; Nuclear medicine; X-ray; Polyacrylamide; Modality (human–computer interaction); Computed tomography; Polymer; Materials science; Medicine; Radiochemistry; Radiology; Chemistry; Computer science; Optics; Physics; Artificial intelligence; Polymer chemistry","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":[0.0001425292,0.0001603147,0.0003609061,0.000103855,0.00002668172,0.00003554374,0.0001820521,0.00001558831,0.00002285614],"category_scores_gemma":[0.00001075397,0.0001494452,0.00009379143,0.0002292114,0.00007329186,0.0007956202,0.00002457513,0.0003388303,0.00000140417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006815852,"about_ca_system_score_gemma":0.00009531805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002463942,"about_ca_topic_score_gemma":0.00001448957,"domain_scores_codex":[0.9989468,0.00002514964,0.0004954425,0.00007984561,0.0002440288,0.0002087557],"domain_scores_gemma":[0.9994471,0.000050426,0.0002174024,0.0001371117,0.0001073805,0.0000405945],"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":[0.00005357896,0.0003520161,0.05031949,0.000378403,0.0001582495,0.0002797362,0.0004550522,0.3221408,0.4325036,0.09821684,0.0001685204,0.0949738],"study_design_scores_gemma":[0.001435743,0.0001922943,0.1908049,0.0005457845,0.00006147913,0.00009870202,0.001265647,0.006828563,0.7586083,0.03865527,0.0009801448,0.0005232051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.92547,0.0003837694,0.07014618,0.00005251216,0.0002936251,0.00006251427,0.000009374841,0.00002884686,0.003553211],"genre_scores_gemma":[0.9947472,0.0001260039,0.004871957,0.00001114644,0.000171591,0.00000161079,0.000002235689,0.0000193703,0.00004884222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3261047,"threshold_uncertainty_score":0.6094199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008946020083157006,"score_gpt":0.2476807502106702,"score_spread":0.2387347301275132,"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."}}