{"id":"W3019473436","doi":"10.1386/vcr_00016_1","title":"E-textiles: Power and resistance","year":2020,"lang":"en","type":"article","venue":"Virtual Creativity","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Futures contract; Materiality (auditing); Supply chain; Wearable technology; Morphing; Politics; Electronics; Computer science; Wearable computer; Business; Engineering; Electrical engineering; Political science; Aesthetics; Marketing; Artificial intelligence; Law","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":[0.004660551,0.0007032278,0.0004425708,0.001583575,0.004722922,0.0159606,0.0009607437,0.003876225,0.01226924],"category_scores_gemma":[0.006992377,0.0003733405,0.0004411964,0.001554221,0.02812126,0.01584102,0.008807974,0.00399094,0.002562139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409013,"about_ca_system_score_gemma":0.001197687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009109661,"about_ca_topic_score_gemma":0.0007185144,"domain_scores_codex":[0.9951242,0.002469302,0.0002055115,0.0005724051,0.001276613,0.000352155],"domain_scores_gemma":[0.9958612,0.002497336,0.0003132566,0.0006483341,0.0004259371,0.0002538286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002234638,0.00001912646,0.0003296751,0.00011069,0.000007324732,0.0001748406,0.01330612,0.0001920893,0.0004700141,0.9544426,0.007285594,0.02363957],"study_design_scores_gemma":[0.00001697797,0.00006560223,0.0005495097,0.0005469515,0.000008738801,0.0007502209,0.01538347,0.000520441,0.0009508735,0.3398713,0.641305,0.00003086599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03422836,0.01722043,0.03033697,0.06555104,0.001324254,0.00006934357,0.00005941586,0.0001722798,0.8510379],"genre_scores_gemma":[0.7795023,0.0152773,0.00972669,0.01068962,0.001079479,0.0001741717,0.00005214239,0.0002282938,0.18327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0159606,"threshold_uncertainty_score":0.04104465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002383102807279,"score_gpt":0.261435382509149,"score_spread":0.2414115514810762,"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."}}