{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009612422,0.0004568462,0.0003337233,0.0005168223,0.000751581,0.001643673,0.0007934557,0.0007209517,0.002010152],"category_scores_gemma":[0.004309195,0.0002889693,0.0003004445,0.0003191823,0.0007300391,0.002020693,0.001744793,0.0003645174,0.0003009338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002360931,"about_ca_system_score_gemma":0.0003063345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000647956,"about_ca_topic_score_gemma":0.001094254,"domain_scores_codex":[0.9991934,0.0004305076,0.00003435182,0.0001659694,0.0000928463,0.00008305561],"domain_scores_gemma":[0.9972212,0.001763101,0.000312266,0.0003802635,0.0001063064,0.0002168073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001415308,0.001384134,0.04570401,0.001803875,0.000234651,0.002081753,0.07115849,0.008313559,0.3350258,0.01631285,0.002339343,0.5142262],"study_design_scores_gemma":[0.001522813,0.01175912,0.310468,0.0009269912,0.001343754,0.01020016,0.08353073,0.09615912,0.2136223,0.0463549,0.223316,0.0007961588],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9279459,0.0003947451,0.05511082,0.0003721942,0.00002815989,0.0001625655,0.00004169865,0.0003744621,0.01556952],"genre_scores_gemma":[0.9731157,0.0001485172,0.02522656,0.00004198478,0.00001446418,0.00008676721,0.00002502098,0.00002038367,0.001320451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002010152,"threshold_uncertainty_score":0.006724596,"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."}}