{"id":"W4400142623","doi":"10.1145/3643834.3660736","title":"A Year of Interaction Around Town: Gathering Traces with an Interactive Knitting Machine and Community Stitch Markers","year":2024,"lang":"en","type":"article","venue":"Designing Interactive Systems Conference","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; World Wide Web; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001208268,0.0003855193,0.0004709247,0.0006718478,0.0003177651,0.0008607402,0.0006994838,0.0001369307,0.00003141924],"category_scores_gemma":[0.0002454882,0.0003368646,0.00005548025,0.0005751644,0.0002282753,0.004370599,0.0002620713,0.001831613,0.00001702847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002963585,"about_ca_system_score_gemma":0.0001236377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205175,"about_ca_topic_score_gemma":0.0001459352,"domain_scores_codex":[0.9970981,0.001048836,0.0005910061,0.0006356405,0.0002986559,0.0003277215],"domain_scores_gemma":[0.996706,0.001480712,0.0005067015,0.0005806914,0.0006500488,0.00007585895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00354688,0.001414181,0.008376293,0.002300131,0.003380848,0.0005124958,0.1890761,0.001346197,0.5362689,0.1218241,0.0002916828,0.1316622],"study_design_scores_gemma":[0.001110571,0.004784959,0.00227015,0.01014028,0.0001168552,0.001462193,0.1089808,0.7882338,0.07893601,0.001631062,0.001071718,0.001261621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4901784,0.00008715488,0.5044116,0.00006901689,0.001102637,0.0003927703,0.00001008925,0.000353621,0.003394655],"genre_scores_gemma":[0.990702,0.000007530728,0.008824916,0.00001844083,0.00005929287,0.00008921094,0.00001095414,0.00003673068,0.0002509475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7868876,"threshold_uncertainty_score":0.9999083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04315458315134402,"score_gpt":0.296442076778895,"score_spread":0.253287493627551,"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."}}