{"id":"W4367606942","doi":"10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a1485","title":"Clinical and Radiographic Characterization of Non-specific Interstitial Pneumonia on High-resolution CT Chest Imaging","year":2023,"lang":"en","type":"article","venue":"","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Calgary; Centre Hospitalier de l’Université de Montréal; University of Toronto; University Health Network; St Joseph's Health Care; McMaster University; Vancouver General Hospital; University of British Columbia; Université de Montréal; University of Saskatchewan","funders":"","keywords":"Radiography; Radiology; Pneumonia; Medicine; High resolution; Characterization (materials science); Interstitial pneumonia; Resolution (logic); Nuclear medicine; Computer science; Lung; Optics; Artificial intelligence; Remote sensing; Internal medicine; Physics; Geology","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":[0.001258949,0.0007802864,0.0006093319,0.002079492,0.0003316654,0.0008498743,0.0006092957,0.0009645471,0.001825393],"category_scores_gemma":[0.005083613,0.0003751747,0.0003935311,0.0008012792,0.0009453794,0.001284588,0.0005164716,0.0005858417,0.0004003845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915237,"about_ca_system_score_gemma":0.0003883065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157731,"about_ca_topic_score_gemma":0.00122959,"domain_scores_codex":[0.9991867,0.0001712064,0.0001767607,0.0001065938,0.0001987087,0.0001600269],"domain_scores_gemma":[0.9977659,0.000704583,0.0005361033,0.0001182923,0.0003975533,0.0004776358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001429262,0.0002453374,0.9295171,0.0001445754,0.00007050685,0.03553199,0.0002991167,0.0003888446,0.02175089,0.0002899312,0.0003778321,0.00995457],"study_design_scores_gemma":[0.00003170622,0.000570845,0.9002251,0.00005645328,0.00006364172,0.09404297,0.0004042368,0.001469428,0.002438825,0.0001794929,0.000497626,0.00001966969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864851,0.0027173,0.001210392,0.0001846394,0.00002004196,0.0001684429,0.0002180562,0.00002794028,0.008968092],"genre_scores_gemma":[0.9984627,0.0004198696,0.0005060522,0.00005996551,0.00004239974,0.00002029916,0.0001894059,0.000004019803,0.0002953425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002079492,"threshold_uncertainty_score":0.006658077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541113909463019,"score_gpt":0.2798547778379932,"score_spread":0.264443638743363,"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."}}