{"id":"W2021673958","doi":"10.1016/j.intcom.2005.03.005","title":"Rendezvousing with location-aware devices: Enhancing social coordination","year":2005,"lang":"en","type":"article","venue":"Interacting with Computers","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mobile device; Computer science; Mobile phone; Key (lock); Field (mathematics); Human–computer interaction; Phone; Mobile computing; Multimedia; Telecommunications; World Wide Web; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002580672,0.0002656256,0.0002253581,0.0004100628,0.0005073043,0.0003886972,0.0006438919,0.00008989542,0.00001162522],"category_scores_gemma":[0.00006258711,0.0002308988,0.00003347342,0.0009658699,0.00008125581,0.002436789,0.000165073,0.0005101542,0.00005678296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004757557,"about_ca_system_score_gemma":0.0001157219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004455356,"about_ca_topic_score_gemma":0.0003482455,"domain_scores_codex":[0.9982382,0.00007788701,0.0003808156,0.0005769574,0.0003509722,0.0003751668],"domain_scores_gemma":[0.9978793,0.0004314707,0.0005334695,0.0003516216,0.0007649537,0.00003917161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005963966,0.0009799855,0.007552035,0.0003650318,0.001204662,0.0003293478,0.1024586,0.03377763,0.01618208,0.06226478,0.0145598,0.7597296],"study_design_scores_gemma":[0.003389422,0.001375198,0.006415981,0.004772949,0.0000875145,0.001934683,0.008041536,0.8803971,0.06922264,0.0002824681,0.02169371,0.002386764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1727325,0.000006346834,0.8213079,0.003749531,0.0007750721,0.0001630014,3.603126e-7,0.0005645868,0.0007006966],"genre_scores_gemma":[0.9006698,1.548224e-7,0.09810787,0.0007850411,0.0002950441,0.00001973671,0.000007582859,0.00002569758,0.00008913816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8466195,"threshold_uncertainty_score":0.941578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360010590231262,"score_gpt":0.2680030923166171,"score_spread":0.2544029864143044,"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."}}