{"id":"W4408325445","doi":"10.1109/globecom52923.2024.10901615","title":"An Efficient Partially Correlated Task Assignment Algorithm for Mobile Crowdsensing","year":2024,"lang":"en","type":"article","venue":"","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Crowdsensing; Computer science; Task (project management); Algorithm; Engineering","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":[0.0008410124,0.001103318,0.001365616,0.0006943207,0.0008359887,0.0008388471,0.001559994,0.001117395,0.002603918],"category_scores_gemma":[0.002154308,0.0004977014,0.0006707585,0.001067394,0.0005843767,0.0009850506,0.001542365,0.0009257306,0.0006119218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009379417,"about_ca_system_score_gemma":0.002530103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004593013,"about_ca_topic_score_gemma":0.004855881,"domain_scores_codex":[0.9993888,0.0001505936,0.00003022416,0.000148623,0.0001318069,0.0001499618],"domain_scores_gemma":[0.9992763,0.0003803987,0.0000801229,0.00007439982,0.0001084036,0.00008024563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003909975,0.0001458566,0.000592099,0.0001395062,0.00003457011,0.0001114165,0.0001765552,0.836982,0.0047137,0.009777861,0.005234835,0.1417005],"study_design_scores_gemma":[0.00003000561,0.00003709844,0.00008525845,0.000004971812,0.000004789345,0.00002680053,0.00002681293,0.9945676,0.0005900149,0.003826266,0.0007936381,0.000006788816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02339808,0.0002814316,0.972392,0.000288365,0.00007773179,0.0001551807,0.0001067037,0.0007287745,0.002571745],"genre_scores_gemma":[0.4589307,0.0002335128,0.5353144,0.0001888963,0.00007267753,0.0004400104,0.0003819003,0.0001381776,0.004299616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004593013,"threshold_uncertainty_score":0.009132564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006360252033878275,"score_gpt":0.2471045332349333,"score_spread":0.2407442812010551,"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."}}