{"id":"W3155007","doi":"10.1155/2014/317262","title":"Recent Advances in Thoracic X‐Ray Computed Tomography for Pulmonary Imaging","year":2014,"lang":"en","type":"review","venue":"Canadian Respiratory Journal","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Radiology; Iterative reconstruction; Tomography; Computed tomography; Image quality; Nuclear medicine; Computer vision; Image (mathematics); Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006733414,0.0005682236,0.001235641,0.001722675,0.0002652768,0.0001477401,0.000544883,0.000201499,0.00004680299],"category_scores_gemma":[0.00005977462,0.0005674034,0.0004436923,0.0007529187,0.00006416523,0.00046367,0.00001797861,0.001296971,0.00001888222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008860611,"about_ca_system_score_gemma":0.0007185661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001821405,"about_ca_topic_score_gemma":0.002177518,"domain_scores_codex":[0.9973783,0.0001644009,0.0009449481,0.0003528608,0.0001832671,0.0009762096],"domain_scores_gemma":[0.9983588,0.000150696,0.0002418268,0.0003252002,0.0001163305,0.0008071511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002256739,0.000004639385,0.00004673681,0.003481102,0.00003332555,0.000239683,0.00001244728,0.002326174,4.789893e-7,0.00002328244,0.0006603,0.9931695],"study_design_scores_gemma":[0.0001274217,0.00001165246,0.000009560553,0.008004352,0.0000900312,0.0002482468,0.00002264952,0.001239278,6.80842e-7,0.0002041611,0.989436,0.0006059382],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001892065,0.9868462,0.009592313,0.00001948149,0.001492561,0.0005100293,0.00007521061,0.00008646446,0.001375825],"genre_scores_gemma":[0.00003471189,0.9976547,0.000754772,0.0003301325,0.0009230794,0.00008857434,0.0000343087,0.0001684557,0.00001129685],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9925637,"threshold_uncertainty_score":0.9996777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361667349705973,"score_gpt":0.3024511197978361,"score_spread":0.2788344463007764,"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."}}