{"id":"W3201221355","doi":"10.5210/spir.v2021i0.12214","title":"STITCHING THE CURVE: PANDEMIC CRAFT AND FEMINIST DATA VISUALIZATION","year":2021,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Crafts, Textile, and Design","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Craft; Sociology; Image stitching; Rhetoric; Computer science; Visual arts; Art; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02211253,0.0008106005,0.0004254463,0.00439591,0.01508746,0.0247291,0.002160185,0.003162509,0.006801158],"category_scores_gemma":[0.02278916,0.0005034558,0.0004927783,0.00409381,0.05587437,0.01631502,0.01261042,0.005521436,0.0007316411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01062728,"about_ca_system_score_gemma":0.0087199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009676749,"about_ca_topic_score_gemma":0.01251618,"domain_scores_codex":[0.9836377,0.01301812,0.0002135331,0.0006585501,0.001717795,0.000754208],"domain_scores_gemma":[0.9688517,0.02634995,0.0009380573,0.001850485,0.001106623,0.0009031616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003356115,0.00003530513,0.001290547,0.0002030434,0.000008931212,0.0005048837,0.5229388,0.0003793787,0.0007565391,0.4160287,0.01577288,0.04204747],"study_design_scores_gemma":[0.0000152674,0.0000285476,0.0008534743,0.0007818619,0.00001002089,0.0003804082,0.3843658,0.001072312,0.002008653,0.1276325,0.4828164,0.00003482779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1867734,0.01346242,0.1568785,0.2387267,0.003295743,0.0004328034,0.000422703,0.0008535009,0.3991542],"genre_scores_gemma":[0.9100953,0.005042736,0.04145626,0.008459183,0.0007301555,0.0004019421,0.0001724749,0.0009922589,0.0326496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0247291,"threshold_uncertainty_score":0.1169437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1498601474463131,"score_gpt":0.3814956585130581,"score_spread":0.2316355110667449,"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."}}