{"id":"W2742082631","doi":"10.1002/mp.12495","title":"A novel 3D‐printed phantom insert for 4D PET/CT imaging and simultaneous integrated boost radiotherapy","year":2017,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Imaging phantom; Materials science; Insert (composites); Biomedical engineering; Nuclear medicine; Medicine; Composite material","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":[0.0001562286,0.0002768019,0.0003735163,0.00002742124,0.0004571255,0.0001712708,0.0004614162,0.00001544003,0.0001363606],"category_scores_gemma":[0.0001058338,0.0002363148,0.000107627,0.00005331007,0.0004568727,0.0002340453,0.00007138345,0.0003142548,0.000001112601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005289847,"about_ca_system_score_gemma":0.0001252053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003478573,"about_ca_topic_score_gemma":0.000005940293,"domain_scores_codex":[0.9987251,0.00001336077,0.0002418352,0.0003883713,0.0002645381,0.0003668122],"domain_scores_gemma":[0.9987399,0.0002613967,0.0001989486,0.0004990496,0.0001001755,0.0002005559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001176452,0.0004135913,0.007664253,0.00003246944,0.0002051643,0.00006547944,0.000180138,0.00001498085,0.009461059,0.006069536,0.0005850128,0.9751907],"study_design_scores_gemma":[0.01340127,0.0004455414,0.0005941169,0.0007302733,0.0001412928,0.0002240693,0.0001771387,0.641709,0.08441938,0.03466839,0.2213015,0.002188053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01994192,0.0001520228,0.9778706,0.0006349936,0.0001679173,0.0004372121,0.00007863296,0.0001490003,0.0005677305],"genre_scores_gemma":[0.9469754,0.00005813332,0.05102141,0.0005649437,0.0008930718,0.00009205463,0.0000533711,0.000085444,0.0002562484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9730026,"threshold_uncertainty_score":0.9636639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106820713588164,"score_gpt":0.3080339548678182,"score_spread":0.2969657477319366,"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."}}