{"id":"W2963383376","doi":"10.11575/prism/36403","title":"Data Embroidery: Exploring Alternative Mediums for Personal Physicalization","year":2019,"lang":"en","type":"article","venue":"Open MIND","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internet privacy; Computer science","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":[0.0004483199,0.00006788388,0.0001197383,0.00003523961,0.0001847839,0.0001228002,0.001145808,0.00005588937,0.0006104762],"category_scores_gemma":[0.0002554549,0.00006756568,0.00001929096,0.0001410861,0.0001000573,0.001168862,0.0003950734,0.0000773081,0.0004072883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004693884,"about_ca_system_score_gemma":0.0001391287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000480184,"about_ca_topic_score_gemma":0.001907891,"domain_scores_codex":[0.9990678,0.0000451958,0.00009999971,0.0003699055,0.0002081774,0.0002089257],"domain_scores_gemma":[0.9994223,0.0001298359,0.00007149082,0.0002675137,0.00006294044,0.00004594435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000119028,0.0002828029,0.008333117,0.00002213925,0.0001784294,0.000006385426,0.2000931,0.00001264774,0.003920076,0.009351077,0.01084851,0.7668327],"study_design_scores_gemma":[0.001443571,0.00009272423,0.001151759,0.00009008095,0.00003533752,7.044844e-7,0.03671097,0.007620226,0.006447519,0.002218948,0.9438448,0.0003433539],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789543,0.00001986064,0.001134359,0.002979468,0.0005858661,0.001189154,0.0001738746,0.00001232287,0.01495087],"genre_scores_gemma":[0.9932913,0.00001610514,0.003191706,0.00004733501,0.0002445714,0.00005414611,0.0001172645,0.00001124609,0.003026316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9329963,"threshold_uncertainty_score":0.6684286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2295994357154378,"score_gpt":0.4020843558926434,"score_spread":0.1724849201772056,"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."}}