{"id":"W2581788138","doi":"10.1177/2055668316685038","title":"Qualitative study of affective identities in dementia patients for the design of cognitive assistive technologies","year":2017,"lang":"en","type":"article","venue":"Journal of Rehabilitation and Assistive Technologies Engineering","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroDevNet; University of British Columbia; University of Toronto; University of Waterloo","funders":"AGE-WELL; U.S. Department of Health and Human Services","keywords":"Set (abstract data type); Feeling; Context (archaeology); Psychology; Situational ethics; Identity (music); Cognition; Affect (linguistics); Grounded theory; Dementia; Qualitative research; Developmental psychology; Social psychology; Cognitive psychology; Medicine; Disease; Computer science; Communication; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001311434,0.0001571536,0.0004866798,0.0006130481,0.0001272791,0.00003093138,0.0002197712,0.00009060789,0.000001653593],"category_scores_gemma":[0.01902837,0.0001075584,0.00009583393,0.0002187348,0.0005491842,0.0002688744,0.000142133,0.0002784671,1.062697e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007842989,"about_ca_system_score_gemma":0.00005864125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001226928,"about_ca_topic_score_gemma":0.000005660474,"domain_scores_codex":[0.9986337,0.0001006564,0.0005549745,0.0001712061,0.0003645329,0.0001749297],"domain_scores_gemma":[0.993425,0.004304723,0.0007397922,0.0001808425,0.001331122,0.00001858908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001985317,0.002043114,0.9100468,0.0005440103,0.001699702,0.00001188439,0.0147548,0.0001388331,0.002475828,0.000516072,0.0000862186,0.06569743],"study_design_scores_gemma":[0.003688909,0.007038443,0.6949983,0.0006213248,0.0002469287,0.000002454849,0.2877072,0.0003118922,0.004841517,0.0004611521,0.00000344591,0.00007842315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964152,0.0005527574,0.03318019,0.0003298571,0.00006934824,0.001630069,0.00002025577,0.00003491821,0.00003056139],"genre_scores_gemma":[0.9958108,0.0001187493,0.003884527,0.000001743204,0.000005378995,0.000158284,0.00000130366,0.00001095538,0.000008223031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2729524,"threshold_uncertainty_score":0.9892347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283036482168824,"score_gpt":0.3567345579451537,"score_spread":0.3284309097282713,"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."}}