{"id":"W2772414402","doi":"10.2196/humanfactors.8387","title":"Deciding How to Stay Independent at Home in Later Years: Development and Acceptability Testing of an Informative Web-Based Module","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Centre hospitalier universitaire de Québec; University of Alberta; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval","funders":"","keywords":"Autonomy; Web application; Face (sociological concept); Psychology; Internet privacy; Medicine; Computer science; World Wide Web; Sociology; Political science","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":[0.0005656827,0.0001227448,0.0001977335,0.0002234346,0.0005863483,0.0001422094,0.0004844018,0.0001482603,0.0000496072],"category_scores_gemma":[0.0004175239,0.000118562,0.00002014147,0.0001183264,0.0002766097,0.0006558217,0.0003765011,0.0001509385,0.000004252558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367335,"about_ca_system_score_gemma":0.0001186734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004819515,"about_ca_topic_score_gemma":0.02680005,"domain_scores_codex":[0.9988316,0.00006472926,0.0002253648,0.0002383761,0.0003311474,0.0003087566],"domain_scores_gemma":[0.9991874,0.00008105944,0.0002069014,0.0003316014,0.0000693865,0.000123705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005983901,0.00003667479,0.9444432,0.00001176771,0.000004800483,0.000002168026,0.04910939,0.000003068589,0.0004517073,0.00002919828,0.000009475954,0.005892611],"study_design_scores_gemma":[0.0004402975,0.00004620295,0.9831969,0.00003297505,0.000001593559,8.53019e-8,0.004338489,0.00001493873,0.01105284,0.0001486206,0.0005781783,0.0001488403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998852,0.000001912806,0.000003775265,0.000085405,0.00004708122,0.0004504667,0.000008597369,0.00008489214,0.0004659007],"genre_scores_gemma":[0.9983048,1.926142e-7,0.001577244,0.00001409008,0.00001042074,0.00003280301,0.000003434817,0.000008839541,0.00004817851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0447709,"threshold_uncertainty_score":0.9909583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04854910819754301,"score_gpt":0.3259536479207406,"score_spread":0.2774045397231976,"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."}}