{"id":"W2794958367","doi":"10.1016/j.diii.2018.03.004","title":"Characterization of small (<4 cm) solid renal masses by computed tomography and magnetic resonance imaging: Current evidence and further development","year":2018,"lang":"en","type":"review","venue":"Diagnostic and Interventional Imaging","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Magnetic resonance imaging; Radiology; Chromophobe cell; Clear cell; Nuclear medicine; Effective diffusion coefficient; Angiomyolipoma; Diffusion MRI; Hyperintensity; Renal cell carcinoma; Pathology; Kidney","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":[0.0002647374,0.000425996,0.0009283722,0.0002907601,0.00007828707,0.00008261889,0.00009471182,0.00005617808,0.00005821659],"category_scores_gemma":[0.0002022957,0.0003530805,0.0002087148,0.0001695509,0.0003244533,0.0001414262,0.0001975221,0.0001854095,0.000004830124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006827067,"about_ca_system_score_gemma":0.000117474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009924596,"about_ca_topic_score_gemma":0.00000194464,"domain_scores_codex":[0.997906,0.0001239123,0.0008374105,0.0006107815,0.0002692652,0.0002526102],"domain_scores_gemma":[0.9985009,0.0005199813,0.0004190049,0.0001833948,0.0002086069,0.0001680788],"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":[0.00002325229,0.0002507901,0.02718422,0.01124814,0.00009400453,0.0000390151,0.0001106779,7.877588e-9,0.00008151147,0.00001916647,0.0003989389,0.9605502],"study_design_scores_gemma":[0.001074481,0.0004383578,0.1663212,0.1964004,0.001734784,0.0006545857,0.00001905128,0.0001901319,0.0002559678,0.00005233755,0.6322329,0.0006257443],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01290195,0.9849499,0.001006536,0.0001013532,0.0001526456,0.0007611706,0.00008133264,0.00002316966,0.00002192308],"genre_scores_gemma":[0.00910286,0.9885907,0.001265953,0.00004067083,0.0001144893,0.0001370173,0.0006124843,0.00004450128,0.00009132522],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9599245,"threshold_uncertainty_score":0.9998921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04631109139257065,"score_gpt":0.3171623383224809,"score_spread":0.2708512469299102,"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."}}