{"id":"W2959102885","doi":"10.2196/13939","title":"An Intergenerational Information and Communications Technology Learning Project to Improve Digital Skills: User Satisfaction Evaluation","year":2019,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Psychological intervention; Psychology; Medical education; Digital learning; Applied psychology; Knowledge management; Computer science; Pedagogy; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004794582,0.00007747299,0.00007947526,0.0004102549,0.0003882729,0.0002189073,0.0002133117,0.0001310318,0.00002966145],"category_scores_gemma":[0.0002955694,0.00008474379,0.00001449791,0.0004287464,0.0001008004,0.002212264,0.0001185736,0.0002143512,0.00008125947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712763,"about_ca_system_score_gemma":0.0001397415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002538845,"about_ca_topic_score_gemma":0.0008291167,"domain_scores_codex":[0.9991401,0.00009260965,0.0001874011,0.0001625276,0.000247479,0.000169828],"domain_scores_gemma":[0.9992898,0.00004420445,0.0001020306,0.0002997416,0.0002277454,0.00003653694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000005470688,0.00003392091,0.4218533,0.000008815054,0.00001408766,7.464052e-8,0.01967908,0.0001663666,0.002105134,0.01026304,0.0002000477,0.5456707],"study_design_scores_gemma":[0.002769975,0.0007907558,0.4993778,0.0002811082,0.00006287533,0.00001708133,0.1104694,0.06119555,0.002104794,0.005996702,0.3156205,0.001313519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924021,0.00001753963,0.001292964,0.002793103,0.0001391174,0.001129101,0.00000512874,0.0003604136,0.001860467],"genre_scores_gemma":[0.9974467,0.00001383551,0.001983567,0.00008258429,0.00003394006,0.0002323111,0.00005357529,0.000006986015,0.0001464798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5443572,"threshold_uncertainty_score":0.3455752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239965436284427,"score_gpt":0.3380168766901719,"score_spread":0.3256172223273276,"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."}}