{"id":"W4412380539","doi":"10.2196/preprints.80251","title":"Preventing Medication Mismanagement in People Living with Dementia through Automated Medication Dispensing with Facial Recognition and Video Observation: an usability study (Preprint)","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Preprint; Dementia; Medicine; Internet privacy; Computer science; Psychology; Human–computer interaction; World Wide Web; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004998339,0.0005127774,0.0005029754,0.0004360813,0.0005593193,0.0008873119,0.0004473577,0.0005254874,0.002671746],"category_scores_gemma":[0.01247281,0.0002498402,0.0008858193,0.0001927304,0.0003805433,0.0007104392,0.0006557823,0.0003806798,0.0004999199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645433,"about_ca_system_score_gemma":0.0005468368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002325969,"about_ca_topic_score_gemma":0.0039912,"domain_scores_codex":[0.9984591,0.0008676615,0.0001746274,0.0001913511,0.0001810206,0.0001262255],"domain_scores_gemma":[0.9927986,0.004796805,0.0003910655,0.0002797318,0.001375797,0.00035803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0121476,0.04651621,0.2457514,0.01075827,0.001272268,0.001923192,0.1052784,0.002433137,0.04940407,0.0005204232,0.02053917,0.5034559],"study_design_scores_gemma":[0.003704525,0.1495621,0.7103128,0.001725882,0.001957602,0.002014973,0.06254467,0.01097887,0.02483365,0.000561054,0.03114934,0.0006545064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970791,0.0001562411,0.001023467,0.0001258825,0.00003580059,0.0005497787,0.0001522616,0.0000422953,0.000835067],"genre_scores_gemma":[0.9837409,0.0005605581,0.01079293,0.0004753025,0.00006550414,0.002009942,0.0004346443,0.00003279813,0.001887484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004998339,"threshold_uncertainty_score":0.02643406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1414545674608195,"score_gpt":0.3979639401667863,"score_spread":0.2565093727059669,"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."}}