{"id":"W4381249592","doi":"10.17645/mac.v11i3.6838","title":"Elder People and Personal Data: New Challenges in Health Platformization","year":2023,"lang":"en","type":"article","venue":"Media and Communication","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Universidad de la República Uruguay; International Development Research Centre","keywords":"Health care; Context (archaeology); Public relations; Digital health; Internet privacy; Citizenship; Sociology; Digital literacy; Subjectivity; Literacy; Knowledge management; Political science; Computer science; Politics; Pedagogy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03006701,0.000523356,0.0007068524,0.002199069,0.01381913,0.0133221,0.001867728,0.002071071,0.003327216],"category_scores_gemma":[0.02767929,0.0005788479,0.000556303,0.001875761,0.01928353,0.01762482,0.02561886,0.003821324,0.0003329234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00562706,"about_ca_system_score_gemma":0.007351833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0261159,"about_ca_topic_score_gemma":0.02518217,"domain_scores_codex":[0.972635,0.02164712,0.001073762,0.00137588,0.001682407,0.001585883],"domain_scores_gemma":[0.9803274,0.01126944,0.001759287,0.001873715,0.002170676,0.002599493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005221726,0.00004294721,0.0103127,0.0002572001,0.00001982978,0.0008445485,0.9097999,0.00007004742,0.0008326035,0.04109478,0.001899233,0.03477405],"study_design_scores_gemma":[0.00001025679,0.0001034993,0.009862077,0.0007086654,0.0000209866,0.0009543218,0.8723978,0.0004080834,0.0004778059,0.02027719,0.09472744,0.00005184227],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8476253,0.007730716,0.01835369,0.09092628,0.0005934815,0.0001709857,0.0001613965,0.00009623638,0.03434208],"genre_scores_gemma":[0.9893134,0.001623814,0.003775987,0.002781099,0.0001190534,0.0001105373,0.00005480221,0.00003897884,0.002182411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03006701,"threshold_uncertainty_score":0.1590115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201614360340342,"score_gpt":0.3457334914285363,"score_spread":0.2255720553945021,"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."}}