{"id":"W4402034697","doi":"10.32920/26883655.v1","title":"Ripple: A Wearable Environment : Exploring Subspace Through an Experimental, Large Scale Textile Installation","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College; Toronto Metropolitan University","funders":"","keywords":"Textile; Wearable computer; Scale (ratio); Subspace topology; Ripple; Wearable technology; Computer science; Engineering; Artificial intelligence; Geography; Cartography; Embedded system; Electrical engineering; Archaeology","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":[0.001959153,0.0006478581,0.0003616118,0.0004852104,0.001529995,0.001787908,0.001230259,0.0008842992,0.01284846],"category_scores_gemma":[0.003027912,0.000316946,0.0004514253,0.0004814014,0.002517955,0.002160454,0.003162921,0.001228084,0.0022106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004265479,"about_ca_system_score_gemma":0.0004659031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007131206,"about_ca_topic_score_gemma":0.002468039,"domain_scores_codex":[0.9987046,0.0006844401,0.00004534747,0.0001875237,0.0002488945,0.0001292242],"domain_scores_gemma":[0.9985668,0.00062799,0.00005797123,0.0003969481,0.0001603427,0.0001899926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"design_other","study_design_scores_codex":[0.003089493,0.01120681,0.01335739,0.004394979,0.0001379647,0.006848273,0.1714791,0.00761076,0.2569955,0.04540572,0.05533465,0.4241395],"study_design_scores_gemma":[0.001022438,0.02036839,0.07222702,0.001431672,0.0002587592,0.00511007,0.192861,0.01784508,0.1156441,0.03159259,0.5408383,0.0008006532],"study_design_candidate":"design_other","study_design_consensus":"design_other","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8415381,0.0003051411,0.06356554,0.001084725,0.0002986104,0.001250436,0.001127553,0.001797989,0.08903185],"genre_scores_gemma":[0.8848848,0.000358152,0.08193234,0.0003900041,0.00005720387,0.001319323,0.0007002495,0.0005989462,0.02975896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01284846,"threshold_uncertainty_score":0.0429824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343282930603815,"score_gpt":0.2469278149777824,"score_spread":0.2125995219174009,"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."}}