{"id":"W4391027963","doi":"10.1177/08465371231215670","title":"Chest CT at X-Ray Dose Using a Noise-Mitigating Weighted Projection: The Thoracic Tomogram. Diagnostic Performance for Pneumonia Detection in Hemato-Oncology Patients","year":2024,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Nuclear medicine; Pneumonia; Radiology; Receiver operating characteristic; Atelectasis; Internal medicine; Lung","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":[0.001235697,0.0004422071,0.0002097377,0.0009483334,0.0001386034,0.0004996288,0.0002649502,0.0005010632,0.0009308046],"category_scores_gemma":[0.004411187,0.0001968152,0.0003087793,0.0004542159,0.0002363135,0.0004946518,0.0002339479,0.0002322894,0.0003999542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698936,"about_ca_system_score_gemma":0.0001837099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004505535,"about_ca_topic_score_gemma":0.0007363461,"domain_scores_codex":[0.99946,0.0002372627,0.00006951444,0.00008773424,0.0001165282,0.00002894746],"domain_scores_gemma":[0.9989341,0.0003746263,0.000347164,0.00007162121,0.0001762007,0.00009629511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001066225,0.00008473035,0.9557093,0.0000751316,0.0001055265,0.0003536168,0.00004673501,0.0007223055,0.01034092,0.00004372585,0.0002388925,0.03121278],"study_design_scores_gemma":[0.0000384855,0.0008054685,0.9778687,0.00003015325,0.000147637,0.004617708,0.0000991897,0.01055871,0.005225567,0.00005926351,0.0005346871,0.00001438883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940268,0.001053408,0.003501875,0.00006133811,0.00001041246,0.00003819828,0.0001455871,0.00007708622,0.001085264],"genre_scores_gemma":[0.997296,0.0001402269,0.002271631,0.00001333053,0.000009137569,0.00000860687,0.0001471556,0.00000490242,0.0001090672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001235697,"threshold_uncertainty_score":0.006535053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854348429638951,"score_gpt":0.3040618727781821,"score_spread":0.2855183884817926,"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."}}