{"id":"W2123992327","doi":"10.1088/0031-9155/56/21/n01","title":"A custom-built PET phantom design for quantitative imaging of printed distributions","year":2011,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Engineering and Physical Sciences Research Council","keywords":"Imaging phantom; Reproducibility; Calibration; Scanner; Image resolution; Materials science; Voxel; Biomedical engineering; Computer science; Nuclear medicine; Artificial intelligence; Mathematics; 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":[0.0009724058,0.0007936904,0.000480161,0.0005354114,0.000191075,0.0006246569,0.001143464,0.0009919759,0.003248081],"category_scores_gemma":[0.001289655,0.0006824346,0.0004741518,0.0004236898,0.000295855,0.0005393799,0.0004643172,0.0007859403,0.001316516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003296847,"about_ca_system_score_gemma":0.0004926614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001948293,"about_ca_topic_score_gemma":0.0003788914,"domain_scores_codex":[0.9994816,0.0001035307,0.00004173044,0.0001060161,0.0002421066,0.00002499917],"domain_scores_gemma":[0.9991744,0.0002437874,0.000122571,0.0002133803,0.0002067711,0.00003907274],"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":[0.0001827676,0.0001039404,0.0003288343,0.0004261274,0.00002790903,0.0002812982,0.00007463177,0.00523401,0.9416148,0.003152807,0.001790693,0.0467822],"study_design_scores_gemma":[0.00006596556,0.0005804009,0.001651498,0.00004549482,0.0001079308,0.003120608,0.00001905835,0.02761827,0.8910632,0.0008635948,0.0747735,0.0000905349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0117444,0.0003333883,0.9837383,0.0001007045,0.0001978941,0.0003123553,0.0002894901,0.001584871,0.001698465],"genre_scores_gemma":[0.08254609,0.0007016611,0.9074396,0.0001831554,0.00006931189,0.001163214,0.0006069536,0.000435632,0.0068543],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003248081,"threshold_uncertainty_score":0.01086599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4039077179997358,"score_gpt":0.4785444534366624,"score_spread":0.07463673543692656,"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."}}