{"id":"W2809354366","doi":"10.2196/mhealth.9345","title":"Mobile Apps for Caregivers of Older Adults: Quantitative Content Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging","keywords":"Psychological intervention; mHealth; Caregiver burden; Family caregivers; Intervention (counseling); Social support; Psychology; Mobile apps; Internet privacy; Applied psychology; Nursing; Medicine; Computer science; World Wide Web; Social psychology; Dementia","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":[0.01676376,0.0005452083,0.001043451,0.00860294,0.001465794,0.002287672,0.0007259913,0.0005202395,0.002089883],"category_scores_gemma":[0.05214792,0.0004524384,0.001246854,0.008474959,0.001128368,0.002193937,0.003262405,0.0008018395,0.000382633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0036809,"about_ca_system_score_gemma":0.005061799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004148946,"about_ca_topic_score_gemma":0.00768489,"domain_scores_codex":[0.9943181,0.002664771,0.0009595115,0.0003750134,0.001350816,0.0003318425],"domain_scores_gemma":[0.9657962,0.02357625,0.003376867,0.0006226437,0.006304953,0.0003231134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007095555,0.000705789,0.1435025,0.028408,0.0003532966,0.0008041215,0.4967924,0.0005736705,0.004523419,0.002803866,0.01374338,0.3070799],"study_design_scores_gemma":[0.0002247221,0.0007884659,0.4867718,0.01513729,0.0007157779,0.0006642225,0.442426,0.003487207,0.002458063,0.003255939,0.04384759,0.0002229421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588214,0.002549222,0.005297152,0.0008243549,0.00006592579,0.01805284,0.008810502,0.00008332878,0.005495325],"genre_scores_gemma":[0.8956657,0.004601151,0.03675287,0.0005773597,0.00006881164,0.05356867,0.006546389,0.00009786172,0.002121193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01676376,"threshold_uncertainty_score":0.08865631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146885030173616,"score_gpt":0.482736814144354,"score_spread":0.3680483111269925,"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."}}