{"id":"W3203506952","doi":"10.1109/smartnets50376.2021.9555423","title":"D2D Communication: COVID-19 Contact Tracing Application Using Wi-Fi Direct","year":2021,"lang":"en","type":"article","venue":"","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Bluetooth; Computer science; Tracing; Contact tracing; Architecture; Coronavirus disease 2019 (COVID-19); Computer network; Embedded system; Telecommunications; Wireless; Operating system; Geography","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":[0.0003560407,0.0006755257,0.00047309,0.0006527882,0.0004736829,0.0008423866,0.001063294,0.0009949537,0.01593198],"category_scores_gemma":[0.001106957,0.0002415267,0.0002555397,0.0005170043,0.0002205649,0.0006750256,0.002043219,0.0004683461,0.003919471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566612,"about_ca_system_score_gemma":0.0002667974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351555,"about_ca_topic_score_gemma":0.001257378,"domain_scores_codex":[0.9995753,0.0000726261,0.00003019223,0.00006263061,0.0002104655,0.00004878727],"domain_scores_gemma":[0.9996207,0.0001231507,0.00002158679,0.0001224338,0.00008038215,0.00003176137],"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":[0.001095032,0.0003902756,0.009882205,0.001143742,0.0001546358,0.004166812,0.00157179,0.01219623,0.08759191,0.02093704,0.1360294,0.724841],"study_design_scores_gemma":[0.0002513692,0.000391689,0.005445275,0.0002213225,0.0001332757,0.005660179,0.0006276451,0.2482315,0.1556768,0.01034334,0.5728419,0.0001758168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02493748,0.0006895409,0.8818747,0.0004986682,0.0002142468,0.0005898637,0.001374433,0.05061292,0.03920816],"genre_scores_gemma":[0.6639202,0.001328494,0.2496923,0.0007032213,0.0001410191,0.000847107,0.003538905,0.001827627,0.07800114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01593198,"threshold_uncertainty_score":0.05329782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0572779863844534,"score_gpt":0.3318663687595125,"score_spread":0.2745883823750591,"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."}}