{"id":"W2768633459","doi":"10.1016/j.ejrad.2017.11.010","title":"Pulmonary nodule detection in oncological patients – Value of respiratory-triggered, periodically rotated overlapping parallel T2-weighted imaging evaluated with PET/CT-MR","year":2017,"lang":"en","type":"article","venue":"European Journal of Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Nuclear medicine; Radiology; Nodule (geology); Respiratory system; Magnetic resonance imaging; Solitary pulmonary nodule; Value (mathematics); Computed tomography; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122154,0.0002026373,0.0006625967,0.000216192,0.0001591569,0.00002621373,0.0002367973,0.00001728395,0.00005817263],"category_scores_gemma":[0.0003518157,0.0001349382,0.000138966,0.0001049604,0.0002729581,0.0001458035,0.0000592777,0.0004194521,0.000009385528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003668786,"about_ca_system_score_gemma":0.0002042458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000270288,"about_ca_topic_score_gemma":0.000008340619,"domain_scores_codex":[0.9974759,0.0008752061,0.0007769106,0.0002717494,0.0003170372,0.0002831609],"domain_scores_gemma":[0.9979486,0.00009996146,0.001081117,0.0003358115,0.0003608342,0.0001736409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004091403,0.001083735,0.9393085,0.00005553142,0.0003454442,0.02634054,0.0001553818,0.0002741582,0.004313715,0.00001725976,0.0002092397,0.02380511],"study_design_scores_gemma":[0.01055531,0.004719293,0.9745826,0.0004980099,0.0002100941,0.006632486,0.00004329362,0.000985174,0.0004972384,0.00001583328,0.001121446,0.0001392341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958621,0.0006462872,0.000118717,0.0004853558,0.0002556283,0.0003221307,0.000003835706,0.00001306192,0.002292888],"genre_scores_gemma":[0.9984942,0.0001926449,0.0008946184,0.000215394,0.0001456125,0.000005412897,0.000006178467,0.00003020366,0.0000157403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03527411,"threshold_uncertainty_score":0.5502621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745129531670757,"score_gpt":0.2793123543865937,"score_spread":0.2618610590698861,"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."}}