{"id":"W1977681723","doi":"10.1097/hp.0b013e3181c34ced","title":"TOOLS FOR CREATING AND MANIPULATING VOXEL PHANTOMS","year":2010,"lang":"en","type":"article","venue":"Health Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Voxel; Computer science; Monte Carlo method; Computer graphics (images); Medical physics; Artificial intelligence; Mathematics; Physics; Statistics","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":[0.0001580233,0.00006253138,0.0001480396,0.00001630457,0.0001679051,0.00003529086,0.00001877855,0.00002162758,0.000007305272],"category_scores_gemma":[0.0001318893,0.00005802923,0.00002591616,0.0000559826,0.00001583118,0.0001760566,0.000009055429,0.0001355736,0.00000427296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001529655,"about_ca_system_score_gemma":0.0000843384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003840304,"about_ca_topic_score_gemma":0.000004235264,"domain_scores_codex":[0.9994515,0.000007285521,0.0001560312,0.0001222096,0.00007646466,0.0001864988],"domain_scores_gemma":[0.9995297,0.0001362599,0.00008599852,0.0001057239,0.0000346584,0.000107628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001914676,0.00004693252,0.02193506,0.0004491785,0.00001490512,9.019338e-7,0.00127278,0.000006375738,0.01182104,0.005979962,0.0007508455,0.9577029],"study_design_scores_gemma":[0.01111607,0.001225032,0.4683294,0.0009573191,0.0001589464,0.0001640827,0.002038759,0.3909992,0.02580631,0.007879102,0.09042392,0.0009018537],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818572,0.0001380914,0.01043378,0.003170121,0.0002292232,0.0006255797,0.000007134194,0.00007558468,0.003463299],"genre_scores_gemma":[0.9862467,0.00001939321,0.009539378,0.003045263,0.0009140028,0.00001949673,0.00002647671,0.00001715295,0.000172114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.956801,"threshold_uncertainty_score":0.2366364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06970662591068241,"score_gpt":0.3895579745715725,"score_spread":0.3198513486608902,"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."}}