{"id":"W4396832837","doi":"10.1145/3613904.3642338","title":"Expressive Clothing: Understanding Hobbyist-Sewers' Visions for Self-Expression Through Clothing","year":2024,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clothing; Expression (computer science); Vision; Sanitary sewer; Computer science; Set (abstract data type); Process (computing); Human–computer interaction; Sociology; Engineering","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":[0.003229166,0.0005329981,0.0002576765,0.001156864,0.003240778,0.005742809,0.0007546429,0.001322126,0.002586104],"category_scores_gemma":[0.004868328,0.0004533843,0.0004626203,0.0005554715,0.008173428,0.005713487,0.004359316,0.001567945,0.0003445788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043881,"about_ca_system_score_gemma":0.0005706645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001795346,"about_ca_topic_score_gemma":0.003038371,"domain_scores_codex":[0.9981659,0.001137015,0.00005662033,0.0002068861,0.0002460813,0.0001874655],"domain_scores_gemma":[0.9981669,0.0008927955,0.0002372778,0.0001908054,0.0002266549,0.0002855374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006309762,0.00004197043,0.006262618,0.0001473658,0.00001298375,0.000594646,0.9498191,0.0001703351,0.006095686,0.02330192,0.0007665674,0.01272367],"study_design_scores_gemma":[0.00001915866,0.0001274834,0.01743576,0.0002840648,0.00002898503,0.001488534,0.8788059,0.00232167,0.002791551,0.01910775,0.07752222,0.00006684225],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9040689,0.0009403651,0.03575304,0.002453569,0.00008991238,0.0000844126,0.00004355715,0.00009040653,0.05647583],"genre_scores_gemma":[0.9917266,0.0002006172,0.004244946,0.0001283016,0.000007261471,0.00003078983,0.00002036641,0.0000318403,0.003609192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005742809,"threshold_uncertainty_score":0.01707768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06442292838022477,"score_gpt":0.337691762225452,"score_spread":0.2732688338452272,"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."}}