{"id":"W2164768240","doi":"10.1109/sahcn.2011.5984880","title":"OppSense: Information sharing for mobile phones in sensing field with data repositories","year":2011,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"VINNOVA","keywords":"Computer science; Data exchange; Overhead (engineering); Information exchange; Software deployment; Mobile phone; Mobile device; Wireless; Key (lock); Mobile computing; Computer network; Field (mathematics); Distributed computing; Database; Computer security; World Wide Web; Telecommunications; Operating system","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":[0.000198364,0.00007439798,0.00009726386,0.0000484455,0.00007016407,0.0001345372,0.0004364674,0.00004338136,0.000005918444],"category_scores_gemma":[0.000006755611,0.00005786066,0.00001022571,0.000130379,0.00001345058,0.001590896,0.0002863655,0.00005923996,0.000003493426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008051018,"about_ca_system_score_gemma":0.00003986608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002835265,"about_ca_topic_score_gemma":0.00007980246,"domain_scores_codex":[0.9993352,0.000006233711,0.0002070983,0.0001949531,0.00009626802,0.0001602149],"domain_scores_gemma":[0.9990901,0.00007946681,0.00006743185,0.0006657897,0.00005740158,0.00003976135],"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":[0.0002916071,0.00009593615,0.009445425,0.0001278461,0.00004967262,0.0001283247,0.01985325,0.0001699808,0.00005823971,0.03568588,0.01422218,0.9198717],"study_design_scores_gemma":[0.0002428634,0.0001155799,0.0001204104,0.00003828602,0.000004157675,0.00005037829,0.0003770961,0.9956591,0.0005194504,0.0008334047,0.001908832,0.0001304017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006497205,0.00001237871,0.9824491,0.00005998411,0.000312838,0.0001843275,0.000001778346,0.0000815941,0.01040079],"genre_scores_gemma":[0.8161329,0.000003834675,0.1833626,0.0002601379,0.00005210421,0.000005729559,0.00001798418,0.000003045478,0.0001616452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9954892,"threshold_uncertainty_score":0.2359489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06031251944272874,"score_gpt":0.2546238503195334,"score_spread":0.1943113308768047,"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."}}