{"id":"W2138482829","doi":"10.1148/rg.296095508","title":"Cirrhosis and Lesion Characterization at MR Imaging","year":2009,"lang":"en","type":"article","venue":"Radiographics","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Cirrhosis; Radiology; Lesion; Pathology; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131758,0.0002882503,0.0003114794,0.002202312,0.0002320904,0.0006890696,0.0001804848,0.0004187266,0.002368157],"category_scores_gemma":[0.003520197,0.0001348088,0.0001941441,0.0008417736,0.0005103474,0.0006467344,0.0003221207,0.0003470891,0.0006588036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000344583,"about_ca_system_score_gemma":0.0003194557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135778,"about_ca_topic_score_gemma":0.000792071,"domain_scores_codex":[0.9995849,0.0001361581,0.00005809213,0.00004702856,0.00009144536,0.00008239149],"domain_scores_gemma":[0.9986925,0.0003244681,0.0004571564,0.00008127809,0.0002313107,0.0002133091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009800775,0.0001084351,0.9023772,0.0001744198,0.00007261799,0.005332855,0.0003296389,0.0005154993,0.02499267,0.001219113,0.000628641,0.06326877],"study_design_scores_gemma":[0.00001862134,0.0005030322,0.9387798,0.00009503077,0.00008915846,0.03898989,0.0004374673,0.001810209,0.01236567,0.001613639,0.005257872,0.00003961087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764522,0.009386982,0.002770968,0.0004576187,0.00002072137,0.00005339729,0.0001568536,0.00007114049,0.01063002],"genre_scores_gemma":[0.9977033,0.000767185,0.0007994598,0.00002990864,0.00003472667,0.000008177924,0.00006977549,0.000008553879,0.0005790102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002368157,"threshold_uncertainty_score":0.007922232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760976267802128,"score_gpt":0.244472536157198,"score_spread":0.2068627734791768,"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."}}