{"id":"W4312391712","doi":"10.1183/13993003.congress-2022.3402","title":"Patient-reported barriers to accepting a technological adherence package in the MAGNIFY trial.","year":2022,"lang":"en","type":"article","venue":"","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TD Bank Group; University of Toronto","funders":"","keywords":"Package design; Computer science; Engineering; Manufacturing engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009802126,0.0004513915,0.001240739,0.0001761173,0.0005540134,0.001154464,0.0005240092,0.001985952,0.007338726],"category_scores_gemma":[0.02139726,0.0003372491,0.001602572,0.000306204,0.0005918028,0.001780073,0.001183192,0.001782464,0.0005654619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00072852,"about_ca_system_score_gemma":0.001416438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000948212,"about_ca_topic_score_gemma":0.002156887,"domain_scores_codex":[0.9935554,0.004591264,0.0005734531,0.000308236,0.0005854704,0.0003862031],"domain_scores_gemma":[0.987236,0.005943809,0.004670883,0.0005806528,0.0002661838,0.001302462],"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":[0.7317722,0.01513395,0.07437354,0.005621138,0.004081925,0.0001923882,0.002143129,0.0004975977,0.001309132,0.0009895561,0.01131081,0.1525746],"study_design_scores_gemma":[0.3795876,0.252659,0.334066,0.002794543,0.005837916,0.0004842744,0.002349688,0.002342751,0.001484053,0.001475074,0.01664542,0.0002737723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852865,0.003555706,0.000225281,0.004606993,0.0001527838,0.001855747,0.000766558,0.00003636979,0.003514139],"genre_scores_gemma":[0.9885536,0.0008961363,0.001297997,0.002127625,0.0002767667,0.004973327,0.0007118406,0.000008134112,0.001154526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009802126,"threshold_uncertainty_score":0.05183923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3445832411608887,"score_gpt":0.4216075341905033,"score_spread":0.07702429302961461,"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."}}