{"id":"W2119469322","doi":"10.1148/radiol.12111873","title":"Cystic Fibrosis: Detecting Changes in Airway Inflammation with FDG PET/CT","year":2012,"lang":"en","type":"article","venue":"Radiology","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Insmed","keywords":"Medicine; Nuclear medicine; Standardized uptake value; Exacerbation; Fluorodeoxyglucose; Cystic fibrosis; Positron emission tomography; Institutional review board; Radiology; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008525358,0.000344121,0.0003906552,0.0008886614,0.0003171956,0.0004426423,0.0002008505,0.0005935998,0.0006901342],"category_scores_gemma":[0.001333798,0.0001732652,0.0001465924,0.0002899186,0.0004009454,0.0003684484,0.0002289199,0.0002676474,0.0001895935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002249775,"about_ca_system_score_gemma":0.000223508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008880842,"about_ca_topic_score_gemma":0.001668787,"domain_scores_codex":[0.9997022,0.00009347823,0.00003429175,0.00005323858,0.00007459114,0.00004213197],"domain_scores_gemma":[0.9996678,0.00009112326,0.00008603359,0.00001270714,0.00005586191,0.00008649026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001619093,0.0002641398,0.9264138,0.0001129857,0.00003818914,0.002647262,0.0001262866,0.0001674656,0.04639356,0.0000230218,0.0002082925,0.0219858],"study_design_scores_gemma":[0.00007964943,0.001893255,0.9777383,0.00006677896,0.00006505095,0.01303534,0.0001943178,0.0008945218,0.00534467,0.00004005155,0.0006350985,0.00001293973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961864,0.002279594,0.0005761617,0.00005291684,0.00000971922,0.00006796342,0.00004831675,0.00001317717,0.0007655539],"genre_scores_gemma":[0.9973743,0.0008385811,0.001404851,0.00004561415,0.00003626097,0.00002726804,0.00008547524,0.000001999535,0.0001856054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008886614,"threshold_uncertainty_score":0.004508734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138448044205513,"score_gpt":0.286697254900432,"score_spread":0.2728524504798807,"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."}}