{"id":"W2897754875","doi":"10.1161/circoutcomes.118.004783","title":"Relationship Between Enrolling Country Income Level and Patient Profile, Protocol Completion, and Trial End Points","year":2018,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian VIGOUR Centre","funders":"Duke Clinical Research Institute; National Institute of General Medical Sciences; National Institute on Aging; Relypsa; National Institutes of Health; Servier; BG Medicine; ResMed; Luitpold Pharmaceuticals; Boston Scientific Corporation; Gilead Sciences; AstraZeneca; Amgen; National Heart, Lung, and Blood Institute; Vifor Pharma; Pfizer; GlaxoSmithKline; European Commission; Sanofi; Abbott Laboratories","keywords":"Medicine; Demography; Per capita income","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":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.039636,0.0003665328,0.0009141838,0.001239984,0.0006978309,0.001868006,0.0006738427,0.0004672351,0.004007544],"category_scores_gemma":[0.07610877,0.00025012,0.001180497,0.002459005,0.0008116435,0.001410878,0.001399363,0.001719355,0.0003590594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007462366,"about_ca_system_score_gemma":0.001392785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005956733,"about_ca_topic_score_gemma":0.0007826743,"domain_scores_codex":[0.9782096,0.01365849,0.003533104,0.001325969,0.001970431,0.00130248],"domain_scores_gemma":[0.8553848,0.05118847,0.07538784,0.006466315,0.005847584,0.005725096],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003168161,0.0001471968,0.9877843,0.0001213284,0.0005779127,0.00004185446,0.0001024772,0.0003510316,0.00008834399,0.0001647413,0.0009192548,0.006533392],"study_design_scores_gemma":[0.0004724831,0.0006858686,0.9953506,0.0001374573,0.00044983,0.0001859272,0.000171477,0.0008341449,0.0001869772,0.0004829566,0.001014128,0.00002808045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882228,0.001895168,0.001500317,0.001154959,0.00004839879,0.0004497677,0.003628302,0.00002883573,0.003071466],"genre_scores_gemma":[0.9966766,0.0002165332,0.0007828148,0.0003055171,0.00004512842,0.0005198464,0.001302829,0.00001407161,0.0001366555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9990858,"threshold_uncertainty_score":0.2096177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2002133698220457,"score_gpt":0.391811103348841,"score_spread":0.1915977335267953,"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."}}