{"id":"W2796511562","doi":"10.7939/r3062p","title":"Usability of Medication Adherence Technologies among Older Adults","year":2012,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Medication adherence; Medicine; Internet privacy; Computer science; Human–computer interaction; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008865081,0.0002637468,0.0005203794,0.00102769,0.000594135,0.001429355,0.0003211073,0.0006464075,0.001289813],"category_scores_gemma":[0.036381,0.0002366057,0.000701554,0.0005984819,0.0002991653,0.0009470269,0.0006756198,0.0003177565,0.000185597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005726241,"about_ca_system_score_gemma":0.0008537511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002845732,"about_ca_topic_score_gemma":0.004009945,"domain_scores_codex":[0.991888,0.004239354,0.0009667782,0.0002573463,0.002355307,0.0002932519],"domain_scores_gemma":[0.9796335,0.01393449,0.002424147,0.0005929798,0.002946615,0.0004683114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001008426,0.001896307,0.5534922,0.002663567,0.0003367898,0.0005117369,0.02290089,0.0002803731,0.003710097,0.0001813879,0.001706864,0.4113114],"study_design_scores_gemma":[0.0001640641,0.01112604,0.9501705,0.001329288,0.0004539853,0.001208106,0.01865786,0.001179542,0.002314601,0.000208498,0.01307947,0.0001081247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936173,0.001701962,0.0007169622,0.0002885752,0.00002681726,0.0003297581,0.00008919493,0.00003919731,0.003190268],"genre_scores_gemma":[0.9938713,0.001197733,0.003525601,0.0002946785,0.00004463387,0.0002436691,0.0001162375,0.000008644965,0.0006975313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008865081,"threshold_uncertainty_score":0.04688352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334400681404133,"score_gpt":0.2169697024086014,"score_spread":0.2036256955945601,"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."}}