{"id":"W2772130001","doi":"","title":"Human aspects of IT for the aged population design for aging: second international conference, ITAP 2016, held as part of HCI international 2016, Toronto, ON, Canada, July 17-22, 2016, proceedings, part I","year":2016,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population ageing; Gerontology; Psychology; Population; Wearable computer; Computer science; Sociology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008708624,0.0002675848,0.0002998749,0.0001848806,0.0006185236,0.0004747982,0.0009457493,0.00008589096,0.1172297],"category_scores_gemma":[0.0002536819,0.0002092567,0.0001105625,0.00004311371,0.0001927639,0.0003427093,0.0002299402,0.0001429408,0.000137171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004144319,"about_ca_system_score_gemma":0.0001686878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0106546,"about_ca_topic_score_gemma":0.0564529,"domain_scores_codex":[0.9978829,0.0001082977,0.0005680934,0.0004316818,0.000692973,0.0003160603],"domain_scores_gemma":[0.9973389,0.0001163014,0.0006278508,0.0002664069,0.001552347,0.00009821184],"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":[0.00005783347,0.00007480862,0.000009337112,0.0001147168,0.0002860199,4.73683e-7,0.0004901629,0.000001968788,0.00003703015,0.2977619,0.7010663,0.00009943308],"study_design_scores_gemma":[0.001019364,0.0002912251,0.0001325257,0.0004616898,0.00004852294,7.012734e-7,0.0005445664,0.000005737284,0.0004071792,0.007926547,0.988919,0.0002429307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002454393,0.0001464313,0.0000449071,0.00301688,0.003065784,0.004455561,0.001206317,0.0001409226,0.9854688],"genre_scores_gemma":[0.2034288,0.0001542043,0.000009183481,0.0002027668,0.001323961,0.00001783644,0.0007080819,0.0004895282,0.7936656],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2898354,"threshold_uncertainty_score":0.9959335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05419114125443521,"score_gpt":0.2905681725525076,"score_spread":0.2363770312980724,"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."}}