{"id":"W4224263780","doi":"10.2196/33537","title":"Recommendations for Defining and Reporting Adherence Measured by Biometric Monitoring Technologies: Systematic Review","year":2022,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"","keywords":"Biometrics; Systematic review; Computer science; Medicine; MEDLINE; Data science; Computer security; Political science","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","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0306545,0.0002459493,0.003195456,0.001191609,0.0001239497,0.00006976946,0.00112222,0.0003557717,0.001377726],"category_scores_gemma":[0.1592853,0.0001621222,0.0004593332,0.0020318,0.0001857696,0.00007986102,0.0003838468,0.003281292,0.00005613537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004447492,"about_ca_system_score_gemma":0.001606741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000137702,"about_ca_topic_score_gemma":1.663692e-7,"domain_scores_codex":[0.9902069,0.0007837748,0.004564675,0.0003783917,0.003648437,0.0004178482],"domain_scores_gemma":[0.9874409,0.004671792,0.005876252,0.0005875318,0.0009444049,0.0004790913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000005084725,0.00005877924,0.000007806313,0.4759938,0.0002253979,0.00006806496,0.00001496247,5.515167e-10,3.232781e-7,0.00001978435,0.09377341,0.4298325],"study_design_scores_gemma":[0.0001629028,0.0003739751,1.546408e-7,0.5007622,0.0005235628,0.001520775,0.0003399015,0.000008723867,0.000001821058,0.00002014549,0.4962136,0.00007216016],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002720244,0.9933652,0.0005285252,0.003648205,0.0003770622,0.001874448,0.000008572089,0.00002996276,0.0001652596],"genre_scores_gemma":[0.00001830566,0.9959085,0.0009058735,0.00008722099,0.0001162604,0.0009147185,0.00003085446,0.00003255084,0.001985712],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4297604,"threshold_uncertainty_score":0.9995351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6135179856558679,"score_gpt":0.5795305052300196,"score_spread":0.03398748042584832,"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."}}