{"id":"W4255891202","doi":"10.14361/9783839429570","title":"Ageing and Technology","year":2016,"lang":"en","type":"book","venue":"Science studies","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Fogarty International Center; Eberhard Karls Universität Tübingen","keywords":"Perspective (graphical); Phenomenon; Set (abstract data type); Population ageing; Technology development; Quality (philosophy); Technological change; Human life; Population; Political science; Engineering ethics; Sociology; Engineering; Computer science; Epistemology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0007488657,0.0001755556,0.0004330467,0.0003277863,0.003163841,0.000009945046,0.0003138474,0.0002539843,0.00003100267],"category_scores_gemma":[0.0008144863,0.0001171578,0.00002608428,0.0002405957,0.003958701,0.0001182315,0.0007947951,0.0004704515,0.0001812623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279122,"about_ca_system_score_gemma":0.0009984261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001396431,"about_ca_topic_score_gemma":0.0001642134,"domain_scores_codex":[0.9984189,0.00003853455,0.0002420749,0.00043977,0.0003108929,0.0005498738],"domain_scores_gemma":[0.9986845,0.0002792371,0.0002047712,0.0002405965,0.0005275797,0.00006337705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008755779,0.00001487514,0.01153934,0.001586147,0.0003128023,0.0001341242,0.2583963,1.966426e-8,0.000722659,0.2277977,0.4143575,0.08512983],"study_design_scores_gemma":[0.0002637465,0.00007149699,0.0005894022,0.002942462,0.00006018569,0.000001164768,0.1204502,2.226318e-7,0.00003043808,0.3745168,0.5006315,0.0004423374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007139382,0.01896886,0.000004430158,0.00294257,0.002223177,0.0004473153,0.00001171977,0.00023728,0.9680253],"genre_scores_gemma":[0.01157964,0.00529092,0.00006018217,0.000694365,0.0007261036,0.00005709897,6.113493e-7,0.00001845534,0.9815726],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1467191,"threshold_uncertainty_score":0.9987519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06618428952403832,"score_gpt":0.4458253160451315,"score_spread":0.3796410265210932,"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."}}