{"id":"W4391786138","doi":"10.1002/mp.16977","title":"Development of the quantitative PET prostate phantom (Q3P) for improved quality assurance of <sup>18</sup>F‐PSMA PET imaging in metastatic prostate cancer","year":2024,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute; BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Society of Nuclear Medicine and Molecular Imaging","keywords":"Imaging phantom; Positron emission tomography; Nuclear medicine; Prostate cancer; Pet imaging; Medicine; Biomedical engineering; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001639468,0.0006143065,0.0002266175,0.0004066816,0.0001802296,0.0004463845,0.0007502986,0.0005788079,0.001131598],"category_scores_gemma":[0.001510281,0.000528525,0.0003447173,0.0003067155,0.0004475364,0.0003760377,0.0004416312,0.0003808817,0.0002991759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428312,"about_ca_system_score_gemma":0.0008402414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005752144,"about_ca_topic_score_gemma":0.0005277316,"domain_scores_codex":[0.9995828,0.0001388825,0.00002072046,0.00007465154,0.0001526535,0.00003023625],"domain_scores_gemma":[0.9993155,0.0002749007,0.0001194535,0.000104657,0.0001345577,0.00005079239],"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":[0.0001184093,0.00003462985,0.0006293922,0.00006831979,0.000006817955,0.00006131135,0.00003671718,0.004545908,0.9818948,0.0007704466,0.0003686576,0.01146466],"study_design_scores_gemma":[0.00003824825,0.0004493345,0.003246818,0.00001740714,0.00003063197,0.0007832865,0.00001980825,0.0383524,0.946325,0.0002453115,0.01044867,0.00004305985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1529637,0.0007066999,0.8395833,0.0003185012,0.00007477206,0.0005513706,0.0005715299,0.002879733,0.002350414],"genre_scores_gemma":[0.4586246,0.0004185578,0.5369791,0.0002144016,0.00001311113,0.0006736828,0.0007009654,0.0004093777,0.001966252],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001639468,"threshold_uncertainty_score":0.008670449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05055013388981858,"score_gpt":0.4032444709644408,"score_spread":0.3526943370746222,"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."}}