{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004621985,0.0009080557,0.0004521837,0.001816212,0.001196543,0.006771024,0.001713256,0.001315395,0.008102444],"category_scores_gemma":[0.01601496,0.0004553541,0.000990162,0.001306298,0.003436219,0.01056408,0.008526979,0.001408919,0.001006703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005702268,"about_ca_system_score_gemma":0.0005799273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004427396,"about_ca_topic_score_gemma":0.0006057696,"domain_scores_codex":[0.9970608,0.001656072,0.0001843931,0.0003859445,0.0005102422,0.0002025467],"domain_scores_gemma":[0.9873887,0.008415705,0.0005006183,0.002564881,0.0006135535,0.0005164823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001237511,0.0005482119,0.01135952,0.00366999,0.000163095,0.002935768,0.2559923,0.005113931,0.08751302,0.1791371,0.009399641,0.4429299],"study_design_scores_gemma":[0.0003704206,0.0015965,0.01219318,0.002607168,0.0002978423,0.006750015,0.09272601,0.02868418,0.0790554,0.1734456,0.601678,0.0005955872],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2864414,0.002058633,0.6590464,0.003077074,0.0003396272,0.0005541526,0.0005126648,0.002451739,0.04551833],"genre_scores_gemma":[0.7082368,0.00100986,0.2748201,0.0004468612,0.00007788122,0.0006184365,0.0003844241,0.000536773,0.01386885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008102444,"threshold_uncertainty_score":0.02710539,"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."}}