{"id":"W3175875793","doi":"10.1145/3450741.3465265","title":"Patching Textiles","year":2021,"lang":"en","type":"article","venue":"Creativity and Cognition","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Craft; Textile; Context (archaeology); Clothing; Computer science; Sustainability; Wearable computer; Wearable technology; Architectural engineering; Interview; Human–computer interaction; Engineering ethics; Engineering; Sociology; Visual arts; Materials science; Art; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007377171,0.0003404636,0.0002044467,0.0006760471,0.001117019,0.002030871,0.000503879,0.0007037749,0.01377424],"category_scores_gemma":[0.003021709,0.0002258249,0.0003717034,0.0006057731,0.002090377,0.002533942,0.001848348,0.0007760822,0.001753082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003805,"about_ca_system_score_gemma":0.000240956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006635509,"about_ca_topic_score_gemma":0.001286286,"domain_scores_codex":[0.9994204,0.000149199,0.0000290228,0.0001278973,0.0001977277,0.00007566529],"domain_scores_gemma":[0.99871,0.0004682518,0.0001049854,0.0004698688,0.000133656,0.0001131481],"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":[0.0002171532,0.0001421157,0.01729945,0.001103735,0.00005138888,0.00281681,0.05001193,0.00349211,0.1404749,0.08289672,0.01318618,0.6883075],"study_design_scores_gemma":[0.00002356427,0.0006335307,0.03659752,0.0006025023,0.00007442028,0.01051065,0.03110366,0.004379823,0.04997982,0.03113103,0.8348479,0.0001155629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6560838,0.002405708,0.1298924,0.001770964,0.0004244226,0.0001932196,0.0002113326,0.001468607,0.2075494],"genre_scores_gemma":[0.8905211,0.001113755,0.04872246,0.0003632667,0.00005604748,0.00003148375,0.00008547468,0.0003418423,0.05876461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01377424,"threshold_uncertainty_score":0.04607946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167912479203532,"score_gpt":0.2676335727468132,"score_spread":0.2459544479547778,"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."}}