{"id":"W2753595133","doi":"10.1515/cdbme-2017-0084","title":"Stopping power accuracy and achievable spatial resolution of helium ion imaging using a prototype particle CT detector system","year":2017,"lang":"en","type":"article","venue":"Current Directions in Biomedical Engineering","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Imaging phantom; Stopping power; Image resolution; Particle therapy; Physics; Isocenter; Detector; Optics; Nuclear medicine; Helium; Materials science; Computational physics; Beam (structure); Atomic physics; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110928,0.0002835217,0.0004516779,0.0003528765,0.0001895118,0.0006984683,0.001004959,0.0008260415,0.001774531],"category_scores_gemma":[0.003095889,0.0002895846,0.0001537365,0.0003892987,0.0002705411,0.0004025808,0.0003749934,0.0002251921,0.0002746337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006415408,"about_ca_system_score_gemma":0.0005648268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091301,"about_ca_topic_score_gemma":0.0007112087,"domain_scores_codex":[0.9993804,0.000154021,0.00004767533,0.0001749913,0.0001980211,0.00004495676],"domain_scores_gemma":[0.9982232,0.0009910113,0.0001719491,0.0001755051,0.0003659314,0.00007232487],"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":[0.003070117,0.0001104303,0.01061992,0.0002528611,0.00003740806,0.000242815,0.0002660659,0.01133039,0.9424722,0.0009719693,0.0003335385,0.0302922],"study_design_scores_gemma":[0.0001350837,0.00212696,0.01587273,0.00003481028,0.00008676709,0.001122782,0.00008120925,0.04464349,0.9329425,0.0001453885,0.0027475,0.00006076957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722362,0.0005600651,0.1240813,0.00009304795,0.00002144988,0.0001333181,0.0003393693,0.001030997,0.001504236],"genre_scores_gemma":[0.9531292,0.00008572015,0.04578993,0.00001977904,0.000003357616,0.00002993298,0.0001791197,0.00006526391,0.0006977242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001774531,"threshold_uncertainty_score":0.005936384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182012518840171,"score_gpt":0.3086931182536521,"score_spread":0.2868729930652504,"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."}}