{"id":"W3022307237","doi":"10.1016/j.ijrobp.2006.07.401","title":"1135","year":2006,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Magnetic resonance imaging; Lymph node; Lymph; Lymphatic system; Voxel; Pelvis; Radiology; Nuclear medicine; Pathology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003749661,0.0005957931,0.0002979957,0.001534397,0.00115611,0.002258712,0.00066325,0.001182425,0.7412304],"category_scores_gemma":[0.001300122,0.0002022883,0.0003346105,0.001186391,0.0005045708,0.0008433982,0.001305794,0.0007709101,0.6027975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000796303,"about_ca_system_score_gemma":0.0008132577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003292671,"about_ca_topic_score_gemma":0.004740228,"domain_scores_codex":[0.9997018,0.00003330812,0.00002016738,0.00006740923,0.0001380225,0.00003930802],"domain_scores_gemma":[0.999359,0.0001008746,0.00002433774,0.0001175396,0.0002860562,0.0001122973],"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":[0.000128191,0.0001395273,0.001595996,0.0001639384,0.0000226572,0.0002736566,0.0001461134,0.0002968181,0.004795079,0.03386592,0.5656473,0.3929248],"study_design_scores_gemma":[0.000008925999,0.00002283259,0.001012239,0.00005544037,0.000007985647,0.000258522,0.00004949229,0.0001418345,0.0006874306,0.001805452,0.9959446,0.000005146254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001398881,0.0005840342,0.001433384,0.001012762,0.0008607648,0.000056446,0.0006385671,0.0002995648,0.9937156],"genre_scores_gemma":[0.005468423,0.0005194051,0.0007321971,0.0004826092,0.0001691854,0.00002858903,0.0008573307,0.00008279589,0.9916596],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2587696,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105446790574808,"score_gpt":0.3471509372349315,"score_spread":0.3260964693291835,"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."}}