{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004711314,0.001236778,0.0007650545,0.001873998,0.0006652488,0.001132395,0.002439565,0.001676115,0.003077907],"category_scores_gemma":[0.006843243,0.001330554,0.0007252234,0.0006987622,0.001333165,0.00121669,0.001132211,0.001243649,0.001065128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000730885,"about_ca_system_score_gemma":0.001877634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007709905,"about_ca_topic_score_gemma":0.0007398556,"domain_scores_codex":[0.9979456,0.0003573633,0.0001402923,0.0003149969,0.001098311,0.0001434802],"domain_scores_gemma":[0.9952691,0.001647353,0.0005253807,0.0007529292,0.001487979,0.0003172789],"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":[0.000686398,0.0002998034,0.002085745,0.0005024623,0.00006276758,0.0006158955,0.0003403055,0.01184464,0.8846908,0.005406002,0.001423626,0.09204158],"study_design_scores_gemma":[0.0003553419,0.002767044,0.003693384,0.00006906542,0.0001699173,0.002847888,0.00008767833,0.05350684,0.8936095,0.00198405,0.04068844,0.0002208307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01684691,0.0001632229,0.9795027,0.0001383566,0.00009320824,0.0009187417,0.00009551621,0.001367245,0.0008740882],"genre_scores_gemma":[0.07031518,0.0001800292,0.9261951,0.0001383953,0.0000344825,0.001280607,0.0003043034,0.0003941349,0.001157855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004711314,"threshold_uncertainty_score":0.02491611,"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."}}