{"id":"W1967640296","doi":"10.1145/2486227.2486242","title":"Older-adult HCI","year":2013,"lang":"en","type":"article","venue":"interactions","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Publishing; Older people; Gerontology; Internet privacy; Computer science; Psychology; Sociology; Political science; Medicine; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005087813,0.001359808,0.0007254743,0.002061959,0.002318245,0.008330211,0.001160536,0.007265773,0.01202752],"category_scores_gemma":[0.009424094,0.0003639794,0.0006332093,0.001796032,0.002339692,0.006946874,0.003479186,0.00907483,0.003927763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457249,"about_ca_system_score_gemma":0.002069244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518246,"about_ca_topic_score_gemma":0.007352808,"domain_scores_codex":[0.9975606,0.0006980182,0.0002684727,0.0003563496,0.0009106952,0.000205856],"domain_scores_gemma":[0.9899905,0.004748848,0.0004463206,0.0004010757,0.001932142,0.002481163],"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":[0.00001183496,0.00003113482,0.000439495,0.0002258266,0.000005946645,0.0001420672,0.0005305695,0.00001885403,0.0001598869,0.005765583,0.9222076,0.07046123],"study_design_scores_gemma":[0.000003391499,0.00001356129,0.0003720373,0.0002180225,0.000004263246,0.0002335792,0.0003769878,0.00002846766,0.00003146158,0.001853887,0.9968586,0.000005762662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0006428161,0.1268257,0.002664616,0.3752339,0.4755285,0.00002674927,0.00005604526,0.0001710308,0.01885071],"genre_scores_gemma":[0.008532356,0.09604906,0.002099653,0.1703684,0.6273611,0.00008106213,0.000109682,0.0001762853,0.09522251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01202752,"threshold_uncertainty_score":0.04023612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573885965529664,"score_gpt":0.3152701443987541,"score_spread":0.2995312847434575,"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."}}