{"id":"W2028002071","doi":"10.1164/rccm.200712-1776oc","title":"Airway Wall Thickness Assessed Using Computed Tomography and Optical Coherence Tomography","year":2008,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia; St. Paul's Hospital; Vancouver General Hospital","funders":"Canadian Institutes of Health Research; National Cancer Institute; British Columbia Lung Association; National Institutes of Health; Michael Smith Health Research BC; BC Cancer Agency; St. Paul's Foundation","keywords":"Medicine; Optical coherence tomography; Airway; Tomography; Lumen (anatomy); Computed tomography; Spirometry; Nuclear medicine; Bronchoscopy; Radiology; Asthma; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003013053,0.000274929,0.000654791,0.0004239091,0.0001978584,0.00002889869,0.0002151049,0.00009463489,0.00003345721],"category_scores_gemma":[0.0001776461,0.0002267571,0.0001144474,0.001082556,0.003624829,0.0002191591,0.00003634331,0.0006248371,7.410493e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002571717,"about_ca_system_score_gemma":0.00006155228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001266769,"about_ca_topic_score_gemma":0.000003053033,"domain_scores_codex":[0.9981908,0.0001182712,0.0006049075,0.0002479411,0.000467961,0.0003701206],"domain_scores_gemma":[0.9977883,0.0007015333,0.00009673006,0.0002221804,0.0005545912,0.0006366798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007574769,0.0008709124,0.5103696,0.002613124,0.001258747,0.002619722,0.01130705,0.001439332,0.1406273,0.03081852,0.00170958,0.2956087],"study_design_scores_gemma":[0.01178111,0.03060804,0.8504049,0.004611027,0.003277524,0.01036776,0.03757749,0.01150248,0.01372062,0.004628206,0.0161536,0.005367223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716082,0.008147209,0.01882043,0.0003450697,0.0001484133,0.0001377984,0.000007052031,0.0000851568,0.0007007029],"genre_scores_gemma":[0.9918651,0.0001074224,0.007308357,0.0004785318,0.0002038721,0.000006986398,0.000001156673,0.00002818616,3.787067e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3400353,"threshold_uncertainty_score":0.9990867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262778789695497,"score_gpt":0.283188058571351,"score_spread":0.2605602706743961,"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."}}