{"id":"W2998592248","doi":"10.2196/17136","title":"Mobile Apps to Support Caregiver-Resident Communication in Long-Term Care: Systematic Search and Content Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; University of British Columbia","funders":"","keywords":"Augmentative and alternative communication; Inclusion (mineral); Relevance (law); Internet privacy; Psychology; Computer science; Aphasia; World Wide Web; Psychiatry; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006982291,0.0001247667,0.0004572076,0.0002445392,0.000372224,0.00001512542,0.0004904665,0.0001238228,0.0001139786],"category_scores_gemma":[0.0001252771,0.0001168969,0.00006425704,0.0006818299,0.0000903749,0.00007039712,0.0007656887,0.0006120922,0.00007826271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070169,"about_ca_system_score_gemma":0.00009882025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005955685,"about_ca_topic_score_gemma":0.002212871,"domain_scores_codex":[0.9977024,0.0009648656,0.0005822283,0.0002988211,0.0001813757,0.0002703072],"domain_scores_gemma":[0.9981537,0.0003503308,0.000135022,0.0009959822,0.0002107933,0.0001541821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001947939,0.00002540178,0.9305835,0.004874195,0.0000853684,0.000004957892,0.06325122,0.00002639618,0.0001218487,0.0001523722,0.0002100164,0.0006452841],"study_design_scores_gemma":[0.0007034848,0.0001139092,0.8880874,0.001644969,0.00016335,7.522918e-7,0.1084009,0.0004676213,0.00006270046,0.000004977516,0.0001665343,0.0001833687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899595,0.001394523,0.00153393,0.00242853,0.00002619253,0.003598852,0.00001343279,0.0001652195,0.0008798292],"genre_scores_gemma":[0.9965467,0.0001271873,0.0001866017,0.0008341242,0.000009985622,0.001997063,0.00006327662,0.00001224431,0.0002228589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04514972,"threshold_uncertainty_score":0.4766917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203312547189567,"score_gpt":0.4553365582622868,"score_spread":0.3350053035433301,"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."}}