{"id":"W4308435850","doi":"10.1183/23120541.00292-2022","title":"Artificial intelligence based software facilitates spirometry quality control in asthma and COPD clinical trials","year":2022,"lang":"en","type":"article","venue":"ERJ Open Research","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Dalhousie University","funders":"","keywords":"Medicine; Spirometry; Asthma; COPD; Quality (philosophy); Software; Clinical trial; Desk; Physical therapy; Control (management); Medical physics; Intensive care medicine; Artificial intelligence; Internal medicine","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":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0481597,0.0001483416,0.0009423125,0.0003931022,0.0004047632,0.0001345819,0.0004929541,0.0001020523,0.003990617],"category_scores_gemma":[0.02854553,0.0001199319,0.0001726347,0.0008252487,0.000501597,0.0001042874,0.0006546532,0.001176932,0.00008937351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240956,"about_ca_system_score_gemma":0.001050471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004332577,"about_ca_topic_score_gemma":0.00007180464,"domain_scores_codex":[0.9857481,0.01046163,0.001407847,0.000666748,0.001191215,0.000524496],"domain_scores_gemma":[0.9884434,0.01018517,0.0001429425,0.0005345913,0.0002356668,0.0004581921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0143315,0.00226255,0.5084147,0.0002352514,0.00007506952,0.0005018212,0.0002713653,0.00007861784,0.001121662,0.0006551463,0.007032519,0.4650198],"study_design_scores_gemma":[0.008148702,0.006757568,0.8556111,0.0002453548,0.00005191754,0.00002032267,0.01129123,0.003480405,0.001155829,0.004618896,0.1079682,0.0006505019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867399,0.001624663,0.001745054,0.004792351,0.0002140745,0.00381152,0.0004106372,0.00003879609,0.0006230308],"genre_scores_gemma":[0.9973574,0.00001871542,0.0004437021,0.001040374,0.0001369572,0.0003989005,0.00004194511,0.00001896727,0.0005430004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4643693,"threshold_uncertainty_score":0.9969199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5232222966731614,"score_gpt":0.5891204365160638,"score_spread":0.06589813984290238,"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."}}