{"id":"W2782112466","doi":"10.1162/desi_a_00476","title":"Experiences in Designing Technologies for Honoring Deceased Loved Ones","year":2018,"lang":"en","type":"article","venue":"Design Issues","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Keio University","keywords":"Engineering ethics; Computer science; Sociology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004462554,0.0001635391,0.0001912652,0.0005109899,0.0001818269,0.0001366332,0.0009323609,0.0001430573,0.00001049658],"category_scores_gemma":[0.0004334639,0.0001549876,0.00002873735,0.0007262308,0.0002681534,0.0007954832,0.0001435149,0.0001320929,0.00004723617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007640129,"about_ca_system_score_gemma":0.00003571093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002216461,"about_ca_topic_score_gemma":0.00001647521,"domain_scores_codex":[0.9987438,0.00005962849,0.0002644548,0.0004460769,0.0001272563,0.0003588295],"domain_scores_gemma":[0.9990241,0.0002311219,0.0001229649,0.0004059158,0.0002028088,0.000013067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002458298,0.0002972686,0.004057196,0.00005680237,0.00008589833,0.00006631049,0.08155608,0.0000851828,0.6020679,0.1471381,0.00707109,0.1572723],"study_design_scores_gemma":[0.0002655469,0.0003968219,0.0001764897,0.00006745376,0.000001979026,0.00000620195,0.006430057,0.01102024,0.9598306,0.01960221,0.001978067,0.0002243407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1171986,0.0002054907,0.8800789,0.0006930059,0.0004020936,0.0003693021,2.134039e-7,0.0008859662,0.0001665362],"genre_scores_gemma":[0.6819059,0.000006155725,0.3176319,0.00004631517,0.00005607513,0.0002706877,4.119707e-7,0.000007948751,0.00007457035],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5647073,"threshold_uncertainty_score":0.6320212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07002662688617878,"score_gpt":0.3346943653251642,"score_spread":0.2646677384389854,"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."}}