{"id":"W3088284571","doi":"10.1177/2055668320938604","title":"Health App Review Tool: Matching mobile apps to Alzheimer’s populations (HART Match)","year":2020,"lang":"en","type":"article","venue":"Journal of Rehabilitation and Assistive Technologies Engineering","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université Laval","funders":"","keywords":"Computer science; Stakeholder; Matching (statistics); App store; Population; Smartphone app; Mobile apps; Human–computer interaction; Data science; World Wide Web; Medicine","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":[0.07103733,0.001473396,0.002263747,0.01284913,0.001830708,0.006455307,0.002850067,0.001985058,0.02671719],"category_scores_gemma":[0.2338981,0.001401217,0.004379535,0.006141287,0.0007036699,0.005526255,0.007210989,0.001814162,0.009120408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003477748,"about_ca_system_score_gemma":0.01352031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002516566,"about_ca_topic_score_gemma":0.008447795,"domain_scores_codex":[0.9236253,0.03928016,0.02280585,0.003813858,0.009375391,0.001099425],"domain_scores_gemma":[0.789991,0.1280359,0.02543351,0.009245205,0.04400992,0.003284387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001116068,0.0003836915,0.01270582,0.03857682,0.001047742,0.0003600535,0.003613478,0.0007064948,0.001085419,0.003919491,0.2671468,0.6693382],"study_design_scores_gemma":[0.002479095,0.001710692,0.05697833,0.04070171,0.002754818,0.001837846,0.00426387,0.004219125,0.005734729,0.01372735,0.8648665,0.0007259557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"software","genre_scores_codex":[0.05406321,0.02848086,0.2641028,0.03480218,0.007765382,0.3420784,0.1357481,0.03397002,0.09898916],"genre_scores_gemma":[0.05877263,0.008021602,0.7075773,0.007588279,0.00107996,0.1867461,0.01502243,0.001429815,0.01376193],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07103733,"threshold_uncertainty_score":0.3756858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05160615691945296,"score_gpt":0.3980708080655772,"score_spread":0.3464646511461242,"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."}}