{"id":"W2559598841","doi":"10.15353/joci.v12i3.3283","title":"Granny gets smarter but Junior hardly notices","year":2016,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile phone; Snapshot (computer storage); Computer science; Phone; Cognition; Multimedia; Psychology; Human–computer interaction; Applied psychology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107238,0.000660108,0.0007852977,0.0008280607,0.0053561,0.003364757,0.0008453594,0.002055574,0.1856477],"category_scores_gemma":[0.003582748,0.0003613018,0.0005901333,0.0004380708,0.001418296,0.005657397,0.004012278,0.003373876,0.1021735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000914883,"about_ca_system_score_gemma":0.0009825344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008337544,"about_ca_topic_score_gemma":0.02385407,"domain_scores_codex":[0.9989271,0.0001674097,0.00004338799,0.0001753897,0.0004757149,0.0002110582],"domain_scores_gemma":[0.9974595,0.00009239888,0.0001508785,0.0001895605,0.000506217,0.001601514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002899981,0.0002689702,0.0180056,0.0002326695,0.00003518457,0.001827552,0.0121363,0.00005456939,0.00447523,0.003676649,0.763422,0.1955751],"study_design_scores_gemma":[0.00001492152,0.0001401337,0.00954074,0.0000900907,0.00001368108,0.001313905,0.01653383,0.00004405085,0.0003510468,0.0008958047,0.9710104,0.00005131153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1653336,0.00384108,0.003292093,0.1108584,0.01750882,0.0001649198,0.00162368,0.007048958,0.6903284],"genre_scores_gemma":[0.104113,0.001236549,0.002237406,0.02064305,0.0006913588,0.00003797856,0.0005620389,0.001226621,0.8692519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1856477,"threshold_uncertainty_score":0.6210533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061961574746974,"score_gpt":0.2924182317913231,"score_spread":0.2617986160438534,"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."}}