{"id":"W4387344897","doi":"10.1145/3610208","title":"Social Wormholes: Exploring Preferences and Opportunities for Distributed and Physically-Grounded Social Connections","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Universitas Brawijaya","keywords":"Ubiquitous computing; Everyday life; Context (archaeology); Computer science; Social computing; Field (mathematics); Isolation (microbiology); Internet privacy; Human–computer interaction; Wormhole; Sociology; Data science; World Wide Web; Social media; Epistemology; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001510072,0.0003381967,0.0002186051,0.0008504044,0.00137274,0.001846202,0.00063437,0.0008189428,0.002193803],"category_scores_gemma":[0.008257821,0.0003306744,0.0002634929,0.0003975904,0.002169351,0.003788328,0.002490357,0.0007103728,0.0001706271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000504229,"about_ca_system_score_gemma":0.0003284837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208911,"about_ca_topic_score_gemma":0.003527315,"domain_scores_codex":[0.9989906,0.0006417224,0.00003042399,0.0001503097,0.00008800922,0.00009898918],"domain_scores_gemma":[0.9948335,0.003602532,0.0005909003,0.0004077735,0.0002098011,0.0003554183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001376666,0.001132473,0.2555418,0.001099864,0.0001716315,0.002078644,0.5268742,0.002528685,0.04784155,0.02742865,0.003660754,0.1302651],"study_design_scores_gemma":[0.00025118,0.002853649,0.2271433,0.0004233668,0.0002363998,0.002555779,0.6251773,0.02804552,0.0127877,0.04847157,0.05170998,0.000344293],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921246,0.00005149018,0.004827269,0.0001380537,0.00000648657,0.00006629217,0.00005014798,0.00003915216,0.002696397],"genre_scores_gemma":[0.995576,0.00004501977,0.003745364,0.00003873574,0.000002477148,0.00007302484,0.00003210478,0.00001182821,0.0004753385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002193803,"threshold_uncertainty_score":0.007986128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3138974799270518,"score_gpt":0.3695005672820701,"score_spread":0.05560308735501829,"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."}}