{"id":"W2032014578","doi":"10.1053/snuc.2003.127304","title":"Imaging gliomas with positron emission tomography and single-photon emission computed tomography","year":2003,"lang":"en","type":"review","venue":"Seminars in Nuclear Medicine","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":167,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Western University","funders":"","keywords":"Medicine; Positron emission tomography; Context (archaeology); Nuclear medicine; Brain tumor; Glioma; Emission computed tomography; Magnetic resonance imaging; Radiation therapy; Single-photon emission computed tomography; Standardized uptake value; Radiology; Pathology; Cancer research","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003808707,0.0009567363,0.002775977,0.001974456,0.000157646,0.00003864334,0.0001884678,0.0003945564,0.0001184129],"category_scores_gemma":[0.00006418908,0.0006053436,0.0003454918,0.002166502,0.000409192,0.00008617711,0.0001050516,0.0007396488,0.000007832559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501517,"about_ca_system_score_gemma":0.00008087111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005140022,"about_ca_topic_score_gemma":0.000002502604,"domain_scores_codex":[0.9964384,0.0002042119,0.0009178738,0.001078477,0.0007162716,0.0006447922],"domain_scores_gemma":[0.9978766,0.000220415,0.0004639176,0.0007294977,0.0001073915,0.0006021683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002293025,0.001106473,0.005521549,0.01124146,0.0004146833,0.00383838,0.0005801012,9.236468e-8,0.0004734561,0.00002655473,0.01232793,0.96424],"study_design_scores_gemma":[0.003553869,0.001800536,0.0002643569,0.1828601,0.002510576,0.00322439,0.0003478474,0.00002812436,0.00007484334,0.00002237586,0.8047519,0.0005610324],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006572375,0.9882386,0.000002088666,0.0005551375,0.0002465254,0.001621889,0.00001112593,0.0001354274,0.002616834],"genre_scores_gemma":[0.002941315,0.9947073,0.001252693,0.0003335367,0.0001654569,0.00005488633,0.0002492455,0.0002206716,0.00007484278],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.963679,"threshold_uncertainty_score":0.9996398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593365172723158,"score_gpt":0.2799985933969237,"score_spread":0.2640649416696921,"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."}}