{"id":"W2921958462","doi":"10.2967/jnumed.118.223073","title":"An International Survey of PET/CT Clinical Reporting","year":2019,"lang":"en","type":"letter","venue":"Journal of Nuclear Medicine","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Medical physics; Computed tomography; Radiology; Nuclear medicine; Family 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006092043,0.0002091696,0.001508135,0.000318627,0.00002392073,0.00001042139,0.0005674604,0.0001145366,0.001319087],"category_scores_gemma":[0.009032867,0.0001415973,0.0003074726,0.0001764255,0.0003487598,0.00009598403,0.00006153411,0.003285026,0.00001870282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006990334,"about_ca_system_score_gemma":0.0003007977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000162829,"about_ca_topic_score_gemma":8.820558e-7,"domain_scores_codex":[0.9941162,0.0002236919,0.003960488,0.0002682481,0.001232182,0.0001991569],"domain_scores_gemma":[0.9902229,0.0005678941,0.007002302,0.0007079223,0.001301285,0.0001976777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008202416,0.000148482,0.01592763,0.0001349082,0.0002062202,0.003992441,0.00001869923,1.817437e-7,0.000397661,0.00001083294,0.977307,0.001773905],"study_design_scores_gemma":[0.00116852,0.001412471,0.04741207,0.001944684,0.0003579202,0.01125135,0.00002658488,0.0003944728,0.00001069078,0.00003861996,0.9358639,0.000118748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05848983,0.00009324167,0.0001770124,0.9359286,0.001838371,0.0002765123,0.00002010267,0.00004143739,0.003134939],"genre_scores_gemma":[0.1574476,0.001267886,0.01628631,0.8061923,0.017118,0.000001878442,0.0003948532,0.0001580346,0.001133058],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1297362,"threshold_uncertainty_score":0.9995939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1656188005521955,"score_gpt":0.4765368515776512,"score_spread":0.3109180510254557,"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."}}