{"id":"W2785423854","doi":"10.2196/mhealth.8930","title":"Improving Refill Adherence in Medicare Patients With Tailored and Interactive Mobile Text Messaging: Pilot Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medication adherence; Text messaging; Medicine; Text message; Medical emergency; Computer science; World Wide Web; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002662932,0.0005017163,0.0005150042,0.0005060734,0.001009351,0.0004726624,0.0004296486,0.0007973588,0.001959532],"category_scores_gemma":[0.00332807,0.0003031491,0.0009076371,0.0003863968,0.0003699437,0.0007000617,0.0007676961,0.0009826041,0.0002989986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000676671,"about_ca_system_score_gemma":0.001926967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004978947,"about_ca_topic_score_gemma":0.006118848,"domain_scores_codex":[0.9989011,0.0004828184,0.00008674365,0.0001202058,0.0001647808,0.0002443244],"domain_scores_gemma":[0.9975438,0.0004884944,0.00043287,0.0002073088,0.0002581009,0.001069562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.05530741,0.355532,0.3943951,0.0005754365,0.0007561416,0.0006280045,0.007782937,0.0006079374,0.006526127,0.0001243274,0.002024335,0.1757404],"study_design_scores_gemma":[0.01797936,0.3907951,0.5843474,0.00006703793,0.0003787572,0.0002412641,0.002230626,0.001387897,0.001197388,0.00007377197,0.001255265,0.00004607072],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990585,0.00002463028,0.00006237417,0.00004784728,0.000004950494,0.0005445186,0.00007156159,0.000006468772,0.0001790373],"genre_scores_gemma":[0.9969395,0.000084001,0.001031309,0.0002291678,0.00003850966,0.00121408,0.0001658217,0.000002074717,0.0002955614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004978947,"threshold_uncertainty_score":0.01408309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05267857967078833,"score_gpt":0.382797160920135,"score_spread":0.3301185812493467,"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."}}