{"id":"W2514881586","doi":"10.2147/copd.s109661","title":"Effects of roflumilast in COPD patients receiving inhaled corticosteroid/long-acting β<sub>2</sub>-agonist fixed-dose combination: RE<sup>2</sup>SPOND rationale and study design","year":2016,"lang":"en","type":"article","venue":"International Journal of COPD","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"Allergan; National Institutes of Health; Veracyte; Bundesministerium für Bildung und Forschung; GlaxoSmithKline; Biogen; Sunovion; Gilead Sciences; Genentech; AstraZeneca; American Thoracic Society","keywords":"Roflumilast; Medicine; COPD; Agonist; BETA (programming language); Terbutaline; Corticosteroid; Adrenergic beta-Agonists; B2 receptor; Anesthesia; Internal medicine; Pharmacology; Asthma; Receptor","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":[0.001760668,0.0005912909,0.001109624,0.001234065,0.0002232704,0.0001960893,0.0007530588,0.0002294029,0.0003929763],"category_scores_gemma":[0.003173236,0.000513936,0.0003144392,0.0005949296,0.000420581,0.001184568,0.0004116748,0.0006918861,0.00006275613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821022,"about_ca_system_score_gemma":0.0009475871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001459084,"about_ca_topic_score_gemma":0.0001441434,"domain_scores_codex":[0.9921932,0.0009474685,0.002126348,0.0007409978,0.00330024,0.0006917603],"domain_scores_gemma":[0.9914744,0.002561579,0.001547894,0.0004739134,0.003357464,0.0005847077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01450405,0.01114279,0.6002024,0.001032147,0.00265578,0.003897666,0.003808143,0.0005248146,0.2878371,0.0002934299,0.007400152,0.06670151],"study_design_scores_gemma":[0.0301483,0.001787506,0.9446306,0.003058163,0.0003456391,0.0005298285,0.0002491752,0.00104819,0.0159001,0.0002649278,0.001438852,0.0005986813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913599,0.001759806,0.001849206,0.001201645,0.00101864,0.002230107,0.00009925314,0.0000369552,0.0004445157],"genre_scores_gemma":[0.9974261,0.0004281055,0.0004920559,0.0001417817,0.0005199052,0.00009974145,0.00008249273,0.000105214,0.0007045961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3444282,"threshold_uncertainty_score":0.9997312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096160824095736,"score_gpt":0.294566812212117,"score_spread":0.2736052039711596,"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."}}