{"id":"W1968199404","doi":"10.1007/s00261-014-0162-5","title":"Inter-rater agreement in the characterization of cystic renal lesions on contrast-enhanced MRI","year":2014,"lang":"en","type":"article","venue":"Abdominal Imaging","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Medicine; Hepatology; Contrast (vision); Radiology; Magnetic resonance imaging; Internal medicine; Nuclear medicine; Pathology; Artificial intelligence","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":[0.118977,0.0007527001,0.001746977,0.003498825,0.001319846,0.00300082,0.001626378,0.001514944,0.0009062367],"category_scores_gemma":[0.2001906,0.0006619365,0.002284627,0.001429076,0.002105038,0.002906991,0.003333567,0.001624395,0.0007568016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112047,"about_ca_system_score_gemma":0.0009117107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770973,"about_ca_topic_score_gemma":0.003170385,"domain_scores_codex":[0.8442361,0.09874567,0.02636877,0.008528258,0.01921755,0.002903616],"domain_scores_gemma":[0.6955176,0.2204927,0.01448106,0.02794152,0.03975771,0.001809376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007231963,0.0004472703,0.8125213,0.001581728,0.006792663,0.0008549597,0.01614748,0.0050844,0.01621247,0.002755088,0.003531695,0.126839],"study_design_scores_gemma":[0.0003216536,0.002187807,0.8856837,0.0007422218,0.003673398,0.004158393,0.007436842,0.05292984,0.0233483,0.004749375,0.01431148,0.0004569202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232003,0.006055661,0.05635542,0.0006113044,0.0008732464,0.001060623,0.001001714,0.0003882727,0.0104535],"genre_scores_gemma":[0.9864727,0.0005473589,0.0111435,0.000133236,0.0001287418,0.0002646143,0.0005390777,0.0001529169,0.0006178208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.118977,"threshold_uncertainty_score":0.6292182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382148647009766,"score_gpt":0.2606756009138136,"score_spread":0.2468541144437159,"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."}}