{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1524547,0.003839829,0.0156013,0.03682655,0.002824758,0.007915237,0.01024998,0.007141927,0.01233904],"category_scores_gemma":[0.4599207,0.00426729,0.01882584,0.02452645,0.003727273,0.01298307,0.005587071,0.004749751,0.002971268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01344884,"about_ca_system_score_gemma":0.06402886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676507,"about_ca_topic_score_gemma":0.03577246,"domain_scores_codex":[0.832396,0.05891302,0.0854157,0.00475608,0.01672495,0.001794271],"domain_scores_gemma":[0.5648128,0.276059,0.07485154,0.01148361,0.06927176,0.003521269],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001224835,0.00001445348,0.0006191669,0.9460191,0.004181843,0.00009460613,0.0005850333,0.0001508137,0.0001455495,0.0007542946,0.01316232,0.03415044],"study_design_scores_gemma":[0.000196927,0.00003642544,0.0007223247,0.9623689,0.01006815,0.00006850468,0.000292019,0.0001000833,0.0001211923,0.001001613,0.02497248,0.00005133876],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.001909366,0.8655292,0.01742805,0.03021748,0.006170395,0.05407699,0.01976584,0.0007161429,0.004186473],"genre_scores_gemma":[0.01779493,0.7488698,0.09180368,0.01590949,0.001049195,0.1138085,0.008534745,0.0002503033,0.001979352],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8475453,"threshold_uncertainty_score":0.8062671,"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."}}