{"id":"W3044736842","doi":"10.1183/23120541.00363-2019","title":"Multiple breath washout in bronchiectasis clinical trials: is it feasible?","year":2020,"lang":"en","type":"article","venue":"ERJ Open Research","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Medical Research Council; Novartis Pharma; Grifols; European Commission; Bayer HealthCare; European Federation of Pharmaceutical Industries and Associations; Wellcome Trust; Teva Pharmaceutical Industries; National Institute for Health and Care Research; Insmed; Gilead Sciences; Public Health Agency; GlaxoSmithKline; AstraZeneca; Pfizer","keywords":"Medicine; Certification; Bronchiectasis; Session (web analytics); Checklist; Physical therapy; Internal medicine; Lung; Computer science","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":["insufficient_payload"],"category_scores_codex":[0.02400766,0.0002410952,0.001444858,0.0003703382,0.0001995875,0.0003677244,0.001414482,0.0002225809,0.005348686],"category_scores_gemma":[0.08430965,0.000189298,0.0002914882,0.001823426,0.0004707483,0.0003764282,0.00171295,0.002259096,0.002298302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002476538,"about_ca_system_score_gemma":0.001397189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938475,"about_ca_topic_score_gemma":0.0006561512,"domain_scores_codex":[0.9897102,0.004199928,0.001500427,0.001153667,0.002220937,0.001214886],"domain_scores_gemma":[0.9871222,0.009942992,0.0001287722,0.0009422036,0.0005253392,0.001338483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01662764,0.001136041,0.2626351,0.0003978451,0.0002185613,0.0007245454,0.001938095,0.000008203475,0.006951058,0.0001548517,0.5822229,0.1269852],"study_design_scores_gemma":[0.03447405,0.006231769,0.2010004,0.001161888,0.00006841472,0.00005879181,0.005106939,0.01295908,0.009160566,0.0006238684,0.7284817,0.0006725164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5451763,0.003318434,0.0003189914,0.3233524,0.000356382,0.01720718,0.0003378289,0.0001506772,0.1097818],"genre_scores_gemma":[0.9790781,0.001107642,0.007285655,0.002887414,0.0008484156,0.0004305389,0.00006381636,0.00008167547,0.008216795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4339017,"threshold_uncertainty_score":0.9984785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6836053536004866,"score_gpt":0.6336124678209925,"score_spread":0.04999288577949412,"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."}}