{"id":"W2885733420","doi":"10.1186/s41512-018-0038-1","title":"OPTimal IMAging strategy in patients suspected of non-traumatic pulmonary disease at the emergency department: chest X-ray or ultra-low-dose CT (OPTIMACT)—a randomised controlled trial chest X-ray or ultra-low-dose CT at the ED: design and rationale","year":2018,"lang":"en","type":"article","venue":"Diagnostic and Prognostic Research","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Universiteit van Amsterdam; ZonMw; Amsterdam University Medical Centers","keywords":"Medicine; Emergency department; Medical diagnosis; Radiology; Randomized controlled trial; Randomization; Emergency medicine; Surgery","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003214351,0.0004863331,0.0008988019,0.0003219841,0.0008804542,0.0001655732,0.0003382664,0.00006166818,0.001673179],"category_scores_gemma":[0.02246453,0.0002651621,0.000172807,0.0007972023,0.001027055,0.0003780499,0.0001130615,0.0005186204,0.00005716648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494651,"about_ca_system_score_gemma":0.0008541197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001167475,"about_ca_topic_score_gemma":0.00004006941,"domain_scores_codex":[0.994221,0.001447322,0.001293825,0.0007864171,0.001293715,0.0009576734],"domain_scores_gemma":[0.9773874,0.02052595,0.0003581001,0.000612125,0.0005766228,0.0005397796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.7048892,0.004967111,0.249624,0.001142493,0.0006666623,0.001224721,0.002459254,0.000914947,0.003173872,0.00002123009,0.00837723,0.02253929],"study_design_scores_gemma":[0.3496583,0.002219488,0.6167101,0.0007128341,0.0006411203,0.00006355888,0.00104605,0.02652775,0.001679942,0.00006880578,0.0001669222,0.0005052018],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773787,0.001933378,0.0001641574,0.001491737,0.0002180026,0.01790385,0.00007862962,0.00003221493,0.0007993433],"genre_scores_gemma":[0.9933682,0.002236087,0.0001255679,0.0001268992,0.0003362703,0.002698049,0.0003172609,0.00006655649,0.0007250978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3670861,"threshold_uncertainty_score":0.99998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03896839631195267,"score_gpt":0.3340980510894291,"score_spread":0.2951296547774765,"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."}}