{"id":"W3164539405","doi":"10.2147/por.s302809","title":"Maximizing Adherence and Gaining New Information For Your Chronic Obstructive Pulmonary Disease (MAGNIFY COPD): Study Protocol for the Pragmatic, Cluster Randomized Trial Evaluating the Impact of Dual Bronchodilator with Add-On Sensor and Electronic Monitoring on Clinical Outcomes","year":2021,"lang":"en","type":"article","venue":"Pragmatic and Observational Research","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Propeller Health; Novartis Pharma","keywords":"Medicine; COPD; Medical prescription; Randomized controlled trial; Bronchodilator; Inhaler; Exacerbation; Intensive care medicine; Lama; Clinical trial; Psychological intervention; Indacaterol; Health care; Physical therapy; Internal medicine; Asthma; Nursing","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"],"consensus_categories":[],"category_scores_codex":[0.007797728,0.0003090128,0.0007685751,0.0001498001,0.0006700245,0.0002110958,0.000157563,0.00009044681,0.00004425371],"category_scores_gemma":[0.01769064,0.0001629745,0.0002202865,0.0003240707,0.0005063454,0.0004331384,0.0001997818,0.0007368797,0.000001360449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004098003,"about_ca_system_score_gemma":0.004050269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007882915,"about_ca_topic_score_gemma":0.000006869316,"domain_scores_codex":[0.994937,0.001366962,0.001004147,0.0004919604,0.001585979,0.000613942],"domain_scores_gemma":[0.9729193,0.02467989,0.0004104316,0.0004341496,0.001243528,0.0003127274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.8209932,0.0007313371,0.1302174,0.001921523,0.001117922,0.0000104792,0.001178168,0.0007235935,0.0000482788,0.001681974,0.0001122019,0.04126387],"study_design_scores_gemma":[0.3125883,0.005802882,0.5665821,0.0005535546,0.0003021174,0.00001668786,0.003075622,0.1082472,0.00001003499,0.002609323,0.0000394141,0.0001727561],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8264347,0.0002240847,0.0006171188,0.001628195,0.000043533,0.1709169,0.00006789381,0.00001561376,0.00005205528],"genre_scores_gemma":[0.8493687,0.00004102377,0.002159631,0.00007493943,0.0005470539,0.1473133,0.00008174445,0.00004852331,0.0003650744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5084049,"threshold_uncertainty_score":0.9905838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2215250831103641,"score_gpt":0.5091758527861214,"score_spread":0.2876507696757573,"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."}}