{"id":"W7066806523","doi":"","title":"Inclusive Design: To AgeTech or not to AgeTech?","year":2021,"lang":"en","type":"other","venue":"Archive of research processes and output produced by RCA (Royal College of Art)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appeal; Population; Population ageing; Ethnic group; Universal design; State (computer science); Pension; Affect (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01489232,0.001219938,0.0007637209,0.001487923,0.00547997,0.01471086,0.001988315,0.01004385,0.01513596],"category_scores_gemma":[0.0369089,0.0004648019,0.001026144,0.001468427,0.02035606,0.02578929,0.009763206,0.0080628,0.008006773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003915397,"about_ca_system_score_gemma":0.004125884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420821,"about_ca_topic_score_gemma":0.002364547,"domain_scores_codex":[0.9776946,0.01504995,0.0008850133,0.001245839,0.003931785,0.001192844],"domain_scores_gemma":[0.9803136,0.008671055,0.001383338,0.003105064,0.003504023,0.003022985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009865352,0.0002517154,0.002603913,0.001296859,0.00004278671,0.0004004107,0.02938366,0.0002438112,0.0008733439,0.5021278,0.1930713,0.2696058],"study_design_scores_gemma":[0.00001868009,0.00009967975,0.000802418,0.001426104,0.00002385386,0.0006694965,0.009516662,0.0001445525,0.0005955338,0.1096918,0.8769762,0.00003513889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01998616,0.05548265,0.06503499,0.5589149,0.02250936,0.0001881372,0.0001637073,0.001184655,0.2765355],"genre_scores_gemma":[0.3729358,0.05642867,0.05550478,0.3532999,0.01221862,0.0009030009,0.0003656479,0.002071989,0.1462716],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01513596,"threshold_uncertainty_score":0.07875901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04469881363703455,"score_gpt":0.3513398849090371,"score_spread":0.3066410712720025,"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."}}