{"id":"W2068355551","doi":"10.1118/1.3250855","title":"Design and construction of a quality control phantom for SPECT and PET imaging","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Imaging phantom; Quality assurance; Scanner; Image quality; Medical physics; Single-photon emission computed tomography; Nuclear medicine; Medical imaging; Computer science; Positron emission tomography; Medicine; Artificial intelligence","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":[0.0004443923,0.00007155728,0.0002472971,0.00001607068,0.00003768909,0.000005963559,0.00003512825,0.00002224871,0.00001467843],"category_scores_gemma":[0.0003152935,0.00005720036,0.00003159584,0.000058912,0.0002979527,0.00003076667,0.000009156483,0.0001119682,3.022832e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009091448,"about_ca_system_score_gemma":0.00005618496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008921977,"about_ca_topic_score_gemma":8.398436e-8,"domain_scores_codex":[0.9992831,0.00002609007,0.0002020471,0.0001509337,0.0002249321,0.000112847],"domain_scores_gemma":[0.9993329,0.0002532168,0.00006743952,0.0001143474,0.00005620934,0.0001758717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002995387,0.0004689832,0.003612755,0.000309393,0.00005522664,0.00001928824,0.0001563655,2.550922e-7,0.02993018,0.05874875,0.005812092,0.9005872],"study_design_scores_gemma":[0.01932514,0.001408978,0.01686167,0.001170934,0.0007641351,0.001034172,0.0001695096,0.140904,0.1185654,0.6935166,0.005608621,0.00067098],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.041159,0.0001037712,0.9403785,0.01766079,0.00001951333,0.0004664481,0.00000615983,0.00005815621,0.0001476458],"genre_scores_gemma":[0.9375294,0.00007467111,0.06038293,0.00182463,0.0001459222,0.00002034931,0.000007195901,0.000005453807,0.000009390485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8999162,"threshold_uncertainty_score":0.2332563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924388462827099,"score_gpt":0.3592183081842897,"score_spread":0.3299744235560187,"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."}}