{"id":"W4405021164","doi":"10.2196/60438","title":"Collecting Real-World Data via an In-Home Smart Medication Dispenser: Longitudinal Observational Study of Survey Panel Persistency, Response Rates, and Psychometric Properties","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Psychology; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0171213,0.0002829158,0.0003720297,0.001006083,0.000763261,0.001169274,0.0006913402,0.0008365338,0.0009280187],"category_scores_gemma":[0.04354347,0.0004244891,0.0006208515,0.001536971,0.0005348363,0.001239121,0.001068314,0.001185748,0.0004512414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077558,"about_ca_system_score_gemma":0.001378007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312378,"about_ca_topic_score_gemma":0.01177291,"domain_scores_codex":[0.9916965,0.004668792,0.0008504991,0.0007974046,0.001390679,0.0005960793],"domain_scores_gemma":[0.9561993,0.01160825,0.01855403,0.005349324,0.005934407,0.002354689],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006926653,0.00009958886,0.9983385,0.00000487392,0.00003987939,0.00001030931,0.0002309514,0.00003958713,0.00004232498,0.00001592009,0.0001303598,0.000978462],"study_design_scores_gemma":[0.00001546528,0.000390694,0.9972246,0.00001276532,0.00002688481,0.000079038,0.0005954983,0.001118441,0.0001202368,0.0000323006,0.0003726044,0.00001160845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981907,0.0000454218,0.0005312132,0.00009327488,0.000004617633,0.00006089805,0.0008593173,0.000008197601,0.000206286],"genre_scores_gemma":[0.9974816,0.00004235452,0.0005739496,0.0001052154,0.00000963142,0.0001125248,0.00152238,0.000006468264,0.0001457886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9828787,"threshold_uncertainty_score":0.09054714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7686995369780942,"score_gpt":0.5225819356190691,"score_spread":0.2461176013590252,"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."}}