{"id":"W4312370671","doi":"10.1183/13993003.congress-2022.2435","title":"A tool to facilitate spirometry quality control assessment using 2019 standards","year":2022,"lang":"en","type":"article","venue":"05.02 - Monitoring airway disease","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Saskatchewan","funders":"","keywords":"Spirometry; Expiration; Medicine; Medical physics; Quality assurance; Reliability (semiconductor); Kappa; Test (biology); Computer science; Glottis; Physical therapy; Mathematics; Surgery; Asthma; Larynx; Internal medicine; External quality assessment; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001104193,0.0003058297,0.0005130708,0.0002632602,0.0004955617,0.00006981518,0.000215956,0.00004533639,0.0005041885],"category_scores_gemma":[0.0003756926,0.0003156549,0.0002962121,0.0005150847,0.00003767398,0.0001214189,0.0001914673,0.0004384291,0.00004217272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210853,"about_ca_system_score_gemma":0.000927653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005159578,"about_ca_topic_score_gemma":0.00000199277,"domain_scores_codex":[0.9963023,0.0002304282,0.0005031303,0.0005984122,0.00175672,0.0006090239],"domain_scores_gemma":[0.9980921,0.00008130319,0.0001170584,0.0007451862,0.000220271,0.0007441125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005644476,0.002894496,0.8496931,0.0009536588,0.0007208277,0.000874625,0.001801115,0.01136271,0.03377087,0.0001584841,0.01150487,0.08062078],"study_design_scores_gemma":[0.01166069,0.001778744,0.9081319,0.0003581262,0.0008921755,0.00001303103,0.005393119,0.001241882,0.0006762649,0.0001720526,0.06837904,0.001303007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915052,0.00080516,0.002035168,0.001556908,0.001398908,0.0009770097,0.001044024,0.0001908901,0.0004867352],"genre_scores_gemma":[0.9960867,0.00001741093,0.0009204737,0.0005587813,0.0004348378,0.0001840571,0.00004470934,0.00005291074,0.001700091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07931778,"threshold_uncertainty_score":0.9999295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05344679409824292,"score_gpt":0.3732455306203026,"score_spread":0.3197987365220596,"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."}}