{"id":"W2055261826","doi":"10.1164/ajrccm.161.2.9812073","title":"An Analysis Algorithm for Measuring Airway Lumen and Wall Areas from High-Resolution Computed Tomographic Data","year":2000,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia Hospital","funders":"","keywords":"Airway; Computed tomographic; Lumen (anatomy); Medicine; Nuclear medicine; Computed tomography; Orientation (vector space); Tomography; Biomedical engineering; Geometry; Mathematics; Radiology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002298474,0.001791658,0.001187198,0.002843308,0.001000828,0.002212644,0.001728089,0.001417772,0.002802541],"category_scores_gemma":[0.003652235,0.0009376134,0.001222683,0.001743632,0.0006995828,0.001460158,0.001081953,0.001360859,0.002631127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009400003,"about_ca_system_score_gemma":0.001969995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003099318,"about_ca_topic_score_gemma":0.004502956,"domain_scores_codex":[0.9984072,0.000223337,0.0001654321,0.0003927429,0.0007323285,0.00007898441],"domain_scores_gemma":[0.9979024,0.0005872395,0.0002760098,0.0001949439,0.0009780406,0.00006131444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001728514,0.0001198153,0.004431478,0.0003393603,0.00022082,0.0001625327,0.0001613483,0.01854487,0.07128972,0.00433246,0.009620584,0.8906042],"study_design_scores_gemma":[0.0001309582,0.0003009353,0.01573686,0.0001133223,0.0002266124,0.0014411,0.0001421817,0.8307194,0.1053713,0.007102731,0.0385583,0.0001564599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001640607,0.00009045497,0.9957235,0.00002153951,0.00001811048,0.00009652703,0.00009141411,0.002110657,0.0002072323],"genre_scores_gemma":[0.009026784,0.00009129322,0.9894395,0.00003147241,0.00001235693,0.0003674871,0.000285103,0.0001816099,0.0005644155],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003099318,"threshold_uncertainty_score":0.01215565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268056073451906,"score_gpt":0.3052736068587486,"score_spread":0.278467999513558,"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."}}