{"id":"W2969796193","doi":"10.2196/12314","title":"Promoting Identification and Use of Aid Resources by Caregivers of Seniors: Co-Design of an Electronic Health Tool","year":2019,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Persona Design and Applications","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Centre for Interdisciplinary Research in Rehabilitation; Quebec Network for Research on Aging; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; Université de Montréal; Université Laval","funders":"","keywords":"eHealth; Identification (biology); General partnership; Brainstorming; Card sorting; Health care; Process (computing); Variety (cybernetics); Bespoke; Needs assessment; Nursing; Medical education; Knowledge management; Process management; Psychology; Medicine; Computer science; Business; Engineering; Marketing","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":[0.0003563634,0.00005850938,0.0001324883,0.0000735899,0.00004159713,0.00003347737,0.0002280675,0.00002056195,0.000001509356],"category_scores_gemma":[0.000007117552,0.00005977086,0.00001897153,0.0002013692,0.00003548033,0.0003910235,0.00002981268,0.00005408906,8.741927e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002937323,"about_ca_system_score_gemma":0.00006804467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000977634,"about_ca_topic_score_gemma":0.000001298956,"domain_scores_codex":[0.9991907,0.00008787411,0.0002186065,0.0002088635,0.0001510103,0.000142905],"domain_scores_gemma":[0.9992685,0.00006803167,0.0002831813,0.0003016914,0.00004738364,0.00003122948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001039433,0.0001112165,0.002924476,0.0002397012,0.00001689311,1.734215e-7,0.02923968,0.0001337703,0.9424562,0.002362883,0.0004757589,0.02202879],"study_design_scores_gemma":[0.001570404,0.001005959,0.02121152,0.000516717,0.00002116451,0.00001867199,0.003033622,0.469227,0.4975337,0.0009939346,0.004298696,0.0005686029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063994,0.0001016225,0.09280687,0.0002203602,0.000006964613,0.0004201383,0.000005992988,0.00002689917,0.00001176446],"genre_scores_gemma":[0.99582,0.00001307838,0.004053087,0.00002116588,0.000004492776,0.00001264612,0.00000465039,0.000004747957,0.00006612489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4690933,"threshold_uncertainty_score":0.2437385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669752441740951,"score_gpt":0.2769843193809201,"score_spread":0.2602867949635105,"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."}}