{"id":"W2598625979","doi":"10.1055/s-0037-1600221","title":"Biopsie-kontrollierter, zeitsynchroner Vergleich von Dual-Energy-CT und Ultraschall zur Quantifizierung von Leberverfettung","year":2017,"lang":"de","type":"article","venue":"RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"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":[0.006928047,0.0008980095,0.001497824,0.000990372,0.000315941,0.00160909,0.0005546059,0.001182874,0.003216015],"category_scores_gemma":[0.008186249,0.0005499332,0.001028243,0.0005449968,0.0007287047,0.00144776,0.000528628,0.0009479441,0.0007871114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367148,"about_ca_system_score_gemma":0.000588399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003053216,"about_ca_topic_score_gemma":0.0003089916,"domain_scores_codex":[0.9973902,0.001049379,0.0004147819,0.0005637173,0.000436601,0.0001453329],"domain_scores_gemma":[0.9930313,0.003947721,0.001123853,0.0007252914,0.0009206955,0.0002510052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.3121861,0.008078511,0.0646126,0.00415268,0.002569808,0.0005923774,0.00121863,0.004685025,0.4049644,0.0007744064,0.0008199926,0.1953455],"study_design_scores_gemma":[0.0120993,0.3002829,0.1974605,0.0006790286,0.01392001,0.002425544,0.001417942,0.01897972,0.4335481,0.002027196,0.01676905,0.0003907814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649836,0.01842015,0.01321575,0.0001539111,0.0003462316,0.0009103772,0.0004084431,0.0001192014,0.001442299],"genre_scores_gemma":[0.9822825,0.002566769,0.01165542,0.0001810468,0.0002609785,0.001477098,0.0005851438,0.00007180297,0.0009191994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006928047,"threshold_uncertainty_score":0.03663945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808671405531211,"score_gpt":0.2747502361081575,"score_spread":0.2566635220528454,"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."}}