{"id":"W4214947741","doi":"10.2196/preprints.37521","title":"Technology Acceptance and Usability of a Mobile App to Support the Workflow of Health Care Aides Who Provide Services to Older Adults: Pilot Mixed Methods Study (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Advanced Education; University of Waterloo; University of Alberta","funders":"","keywords":"Usability; eHealth; Health care; Workflow; Workforce; Focus group; Nursing; Qualitative research; Medicine; System usability scale; Population; Business; Heuristic evaluation; Computer science; Marketing; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.01334985,0.0005779975,0.0008725854,0.0008435661,0.002005711,0.002277588,0.0007787863,0.001108544,0.002802723],"category_scores_gemma":[0.01541803,0.0008077745,0.001492921,0.0006195401,0.0009816618,0.001721011,0.00130233,0.001133293,0.0005564563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220916,"about_ca_system_score_gemma":0.002772319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002680103,"about_ca_topic_score_gemma":0.004959399,"domain_scores_codex":[0.9946859,0.002805848,0.0006490695,0.0005609228,0.0007655814,0.0005327651],"domain_scores_gemma":[0.9876013,0.007199956,0.001192522,0.000718515,0.002545131,0.0007425317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003282572,0.05506936,0.3641977,0.003260935,0.0004527235,0.001620993,0.4386171,0.0003104531,0.01137942,0.0005120705,0.003194379,0.1181022],"study_design_scores_gemma":[0.001665045,0.09898709,0.5664504,0.0009033538,0.0006895981,0.0006755426,0.3121103,0.001501615,0.007111135,0.0003447282,0.009309406,0.000251787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975381,0.00004764879,0.0002999727,0.00007464035,0.0000120852,0.00150579,0.00008905354,0.000006148909,0.0004265084],"genre_scores_gemma":[0.9848427,0.0002575163,0.003570762,0.0004813649,0.00003442928,0.00902713,0.000166809,0.00001028586,0.001608997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01334985,"threshold_uncertainty_score":0.07060158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966144932093811,"score_gpt":0.3766452659167827,"score_spread":0.3569838165958445,"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."}}