{"id":"W3127981350","doi":"","title":"FDG digital PET/CT more efficient than MRI in evaluation of recurrence soft tissue sarcoma.","year":2020,"lang":"en","type":"article","venue":"","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Soft tissue; Sarcoma; Soft tissue sarcoma; Radiology; Nuclear medicine; Positron emission tomography; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006453918,0.0003472309,0.0002881413,0.0009613768,0.0001358405,0.0004228719,0.0002859432,0.0005316262,0.005633101],"category_scores_gemma":[0.002672912,0.0001725419,0.0002394721,0.0004892558,0.0002738472,0.0004929801,0.0002098615,0.0004040841,0.002287852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002792099,"about_ca_system_score_gemma":0.0001978802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006973107,"about_ca_topic_score_gemma":0.001367184,"domain_scores_codex":[0.9997247,0.00007984703,0.00003814194,0.00005023212,0.00006104622,0.00004609532],"domain_scores_gemma":[0.9993875,0.0002117019,0.0001720077,0.00004700161,0.0001083781,0.00007331783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00116233,0.0001373495,0.7698874,0.0003464405,0.00007196424,0.03302349,0.0001603647,0.0004177125,0.03750953,0.0001569006,0.001333911,0.1557927],"study_design_scores_gemma":[0.0001153485,0.001206312,0.6118901,0.0002323071,0.0002768496,0.3479127,0.0004505426,0.00278537,0.022151,0.0002456161,0.01269592,0.00003792256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970713,0.01258122,0.005309468,0.0005172774,0.00009261546,0.0001131951,0.0002209835,0.0001305798,0.01032183],"genre_scores_gemma":[0.9919762,0.001971518,0.003876751,0.000186606,0.00009832976,0.00001928775,0.0001931605,0.00002786307,0.001650218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005633101,"threshold_uncertainty_score":0.01884466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04781078611412905,"score_gpt":0.3346409619810436,"score_spread":0.2868301758669146,"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."}}