{"id":"W4412017464","doi":"10.1145/3715336.3735696","title":"WovenCircuits: A 3-Step Fabrication Process for Weaving Electric Circuit Layouts in Everyday Artefacts","year":2025,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Weaving; Fabrication; Process (computing); Computer science; Engineering drawing; Materials science; Engineering; Mechanical engineering; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002785276,0.0007770068,0.0004012312,0.0006678753,0.0004604783,0.001476283,0.001282097,0.0008767014,0.005414529],"category_scores_gemma":[0.001215145,0.0006350569,0.000595396,0.000530679,0.000675622,0.001013044,0.001305428,0.0009661046,0.001732733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003760465,"about_ca_system_score_gemma":0.0007703992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006522963,"about_ca_topic_score_gemma":0.001994634,"domain_scores_codex":[0.9995363,0.00003415962,0.00002293528,0.00007936324,0.0002706542,0.00005674626],"domain_scores_gemma":[0.9995276,0.00009187472,0.000053764,0.0001836991,0.0000936935,0.00004947807],"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":[0.0001086019,0.0001180577,0.0008525547,0.0005106854,0.00006576178,0.00144128,0.001021764,0.008859508,0.8229095,0.02402782,0.006371006,0.1337134],"study_design_scores_gemma":[0.00006282632,0.000525111,0.003002938,0.0001203782,0.00008259703,0.002499383,0.0004082744,0.0364317,0.7898214,0.009454506,0.1574329,0.0001579996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1670746,0.001355349,0.7863618,0.0003999404,0.0009276269,0.000397973,0.0006326507,0.005678944,0.03717114],"genre_scores_gemma":[0.4628392,0.0007499044,0.5169049,0.0001571863,0.00005430357,0.0002010749,0.0005456191,0.001060003,0.01748776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005414529,"threshold_uncertainty_score":0.01811337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608416818142226,"score_gpt":0.3091498031759193,"score_spread":0.283065634994497,"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."}}